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• Cobots in Smart Manufacturing and Production for Industry 5.0
  Industry 5.0 has brought the dawn of advanced human-centric and customized applications. It offers a blend of cutting-edge technologies for the welfare of mankind. The incorporation of machine learning, cyber-physical systems, and automation is a perfect combi…
  openalex Jeyalakshmi Jeyabalan, Eugene Berna, Prithi Samuel, Vikneswaran Vijean 2024-08-27 置信度 0.72 Production (economics)Manufacturing engineeringIndustry 4.0ManufacturingBusiness
• AI-Driven Predictive Analytics for Carbon Emission Reduction in Industrial Manufacturing: A Machine Learning Approach to Sustainable Production
  Industrial manufacturing is a major contributor to global carbon emissions, necessitating innovative strategies to mitigate environmental impact while maintaining efficiency. AI-driven predictive analytics, particularly through machine learning (ML) techniques…
  openalex Jessica Obianuju Ojadi, Ekene Cynthia Onukwulu, Chinekwu Somtochukwu Odionu, Olumide Akindele Owulade 2023-01-01 置信度 0.72 Reduction (mathematics)Production (economics)Predictive analyticsAnalyticsManufacturing engineering
• Circularity and Digitalisation in German Textile Manufacturing: Towards a Blueprint for Strategy Development and Implementation
  Textile and clothing (T&C) production and consumption have been steadily increasing for many years, accompanied by significant resource consumption, waste generation, and environmental impact. Germany holds a pivotal position in the industry, both within the E…
  openalex Tina Wiegand, Martín Wynn 2024-11-29 置信度 0.72 BlueprintGermanTextileBusinessManufacturing engineering
• Generative AI in Manufacturing Systems: Reference Framework and Use Cases
  This paper aims to enhance the competitive edge of manufacturers through increased efficiency, propelled by digitalization and the implementation of artificial intelligence (AI) applications. A key focus is on Generative AI, a growing topic of discussion in th…
  openalex Marc-André Filz, Sebastian Thiede 2024-01-01 置信度 0.72 Generative grammarComputer scienceArtificial intelligenceEngineering
• Modeling and Digital Twins: Insights and Strategies for Software Engineers
  Software modeling and digital twins are transforming the way software engineers design, operate, and maintain complex systems. In this column, we highlight cutting-edge research presented at the ACM/IEEE 27th International Conference on Model-Driven Engineerin…
  openalex Silvia Abrahão, Miroslaw Staron, Judith Michael, Benoît Combemale 等 2025-02-13 置信度 0.72 Software engineeringComputer scienceSocial software engineeringSoftware developmentSoftware construction
• Transforming Manufacturing: A Comprehensive Analysis of Industry 4.0 Technologies, Industry 5.0 Perspectives, and Future Research Directions
  Today's manufacturing sector undergoes essential changes due to emerging technologies and sustainability-focused practices alongside innovative operational methods. Industries worldwide are undergoing a substantial revolution as they adopt Industry 4.0 princip…
  openalex Deepika Nathany 2025-01-01 置信度 0.72 Industry 4.0ManufacturingBusinessEngineeringManufacturing engineering
• Machine Learning for Industrial Optimization and Predictive Control: A Patent-Based Perspective with a Focus on Taiwan’s High-Tech Manufacturing
  The global trend toward Industry 4.0 has intensified the demand for intelligent, adaptive, and energy-efficient manufacturing systems. Machine learning (ML) has emerged as a crucial enabler of this transformation, particularly in high-mix, high-precision envir…
  openalex Chien-Chih Wang, Chun-Hua Chien 2025-07-15 置信度 0.72 Perspective (graphical)High techFocus (optics)Control (management)Manufacturing engineering
• Sustainable in-space manufacturing by upcycling metal space debris via a vertically integrated processing paradigm
  This study presents a novel approach to upcycling metallic space debris into functional components. This is the first work to investigate the feasibility of using additive friction stir deposition (AFSD), a solid-state additive manufacturing (SSAM) technique, …
  openalex Charlye R. Baker, Ning Zhu, Pruthul Kokkada Ravindranath, Joseph W. Pawelski 等 2025-07-02 置信度 0.72 Space (punctuation)Space debrisDebrisMaterials scienceMechanical engineering
• Unlocking the Potential of Predictive Maintenance for Intelligent Manufacturing: a Case Study On Potentials, Barriers, and Critical Success Factors
  Abstract Predictive maintenance (PdM) is a data-driven maintenance strategy that aims to avoid unplanned downtimes by predicting the remaining lifetime of maintenance objects. Thus, unnecessary replacements of spare parts and critical process disturbances due …
  openalex Marcel Hoffmann, Rainer Lasch 2025-01-21 置信度 0.72 Predictive maintenanceRisk analysis (engineering)BusinessComputer scienceEngineering
• A Machine Learning and Digital Twin-Based Assistance System for Computer Science Students' Career Prediction and Activity Recognition
  The advancement of digital twin (DT), machine learning (ML), and deep learning (DL) technology has created new opportunities for students' activity recognition and career guidance in the educational sector. DT and ML technology can be used to update and monito…
  openalex Tabassum Ferdous, Mahfuzulhoq Chowdhury 2025-02-18 置信度 0.72 Computer scienceScience learningMathematics educationHuman–computer interactionArtificial intelligence
• Deep Drawability of Al-Mg Alloys Produced by Twin Roll Continuous Casting Method: Investigation of Microstructure and Mechanical Properties
  This study explores the development of Al-Mg alloy sheets manufactured through the Twin Roll Continuous Casting (TRC) technique, with the goal of enhancing their mechanical properties via thermomechanical processing. TRC is a cost-effective and efficient metho…
  openalex Koray Dündar, Ekrem Altuncu, Onur Birbaşar 2024-11-29 置信度 0.72 MicrostructureMaterials scienceMetallurgyContinuous castingCasting
• Use of Artificial Intelligence in Design, Development, Additive Manufacturing, and Certification of Multifunctional Composites for Aircraft, Drones, and Spacecraft
  Multifunctional composites provide more than one function from the same part. The anisotropy, material, and process characterization challenges and the lack of standardization on the 3D-printed multifunctional carbon composites make it difficult for applicatio…
  openalex Ritesh Ghimire, Asokan Raji 2024-01-31 置信度 0.72 DroneCertificationSpacecraftAerospace engineeringEngineering
• Transforming B2B platforms through interconnected digital twins: Enhancing situation awareness for decision-making
  Business-to-business (B2B) platforms hold transformative potential for manufacturing by enabling firms to collaborate, share data, and coordinate decisions across interconnected cyber-physical networks. However, many firms struggle to fully leverage these plat…
  openalex Alexander Schink, Tobias Gutmann, Sebastian Brenk 2025-09-18 置信度 0.72 Digital transformationEnablingLeverage (statistics)Situation awarenessTransformative learning
• Mechanisms of Supply Chain Digitalization in Advancing High-Quality Development in Manufacturing Firms
  Supply chain digitalization (SCD) has been recognized as a critical enabler of high-quality development in the manufacturing sector.To explore its influence mechanisms, an SCD indicator was constructed through textual analysis of corporate disclosures by Chine…
  openalex Haohua Liu, Z. Yu 2025-03-31 置信度 0.72 Supply chainBusinessQuality (philosophy)Industrial organizationManufacturing engineering
• Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends
  Intelligent robotics has the potential to revolutionize various industries by amplifying output, streamlining operations, and enriching customer interactions. This systematic literature review aims to analyze emerging technologies and trends in intelligent rob…
  openalex Josip Tomo Licardo, Mihael Domjan, Tihomir Orehovački 2024-01-29 置信度 0.72 RoboticsArtificial intelligenceEngineering managementRobotComputer science
• Driving Green Innovation Through Digital Transformation: Empirical Insights on Regional Variations
  This research examines the impact of digital transformation on green innovation across different regions in China, using data from the Shanghai and Shenzhen stock markets from 2007 to 2022. The study reveals that digital transformation significantly enhances g…
  openalex Chao Yang, Qi Liu 2024-12-06 置信度 0.72 BusinessSustainable developmentDigital transformationChinaIndustrial organization
• Multi-objective optimization for layout planning of matrix manufacturing system
  Abstract The automotive industry is experiencing rapid changes due to the rise of the Industry 4.0 manufacturing paradigm, which requires strategic implementation of advanced manufacturing systems to meet diverse customer needs. The Matrix Manufacturing System…
  openalex J.S. Park, Chang‐Ha Lee, Seog‐Chan Oh, Sang Do Noh 2025-01-28 置信度 0.72 Matrix (chemical analysis)Computer scienceManufacturing engineeringMathematical optimizationIndustrial engineering
• Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing
  Real-time long-horizon temperature prediction in wire arc additive manufacturing is critical for process control and quality assurance. However, finite element methods are computationally expensive, and the existing data-driven models suffer from error accumul…
  openalex Mingxuan Tian, Haochen Mu, Tao Liu, Mengjiao Li 等 2025-09-29 置信度 0.72 Artificial neural networkConsistency (knowledge bases)Process (computing)Convolutional neural networkComputer science
• Industrial Revolution 5.0 and the Role of Cutting Edge Technologies
  IR 4.0 emphasizes the interconnection of machines and systems to achieve optimal performance and productivity gains. IR 5.0 is said to take it a step further by fine-tuning the human-machine connection. IR 5.0 is more collaboration between the two: automated t…
  openalex Mamoona Humayun 2021-01-01 置信度 0.72 Computer scienceCreativityRobotPersonalizationLeverage (statistics)
• Dynamic scheduling for manufacturing workshops using Digital Twins, Competitive Particle Swarm Optimization, and Siamese Neural Networks
  Flexible manufacturing workshops often encounter scheduling challenges due to complex processes and cumbersome procedures. To address these issues, a dynamic scheduling method is proposed. Initially, a discrete manufacturing workshop scheduling problem model i…
  openalex Liguo Weng 2024-10-31 置信度 0.72 Particle swarm optimizationArtificial neural networkScheduling (production processes)Computer scienceArtificial intelligence
• Breaking Down the Barriers between the Digital and the Real: Mixed Reality Applied to Battery Manufacturing R&D and Training
  Abstract In a scenario in which the manufacturing of high‐performance, safe batteries on an unprecedented large scale is crucial for the energy transition and fight against climate change, research laboratories and cell production industries are facing challen…
  openalex Lucie Denisart, Javier F. Troncoso, Émilie Loup‐Escande, Alejandro A. Franco 2024-04-05 置信度 0.72 Battery (electricity)Context (archaeology)UsabilityExploitProcess (computing)
• Biomimetic Ion Channel Design for Simultaneous Lithium-Ion Flux Regulation and Interfacial Stabilization in Lithium Metal Batteries.
  europepmc 2026 置信度 0.80
• Smart Manufacturing and Production Flexibility under Market and Demand Fluctuations: Evidence from Electrical and Electronic Industrial Companies in Iraq.
  europepmc 2026 置信度 0.80
• Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery.
  europepmc 2026 置信度 0.80
• Artificial Intelligence as a Disruptive Force in Pharmaceutical Innovation: Transforming Discovery, Development, and Manufacturing.
  europepmc 2026 置信度 0.80
• Broad tunability of ultrasonic tweezer for multi‑droplet manipulation.
  europepmc 2026 置信度 0.80
• AI‑guided design of 3D-printable gyroid spacers for scale‑resistant membrane distillation in sustainable water treatment.
  europepmc 2026 置信度 0.80
• A digital twin of a vacuum filter-bed dryer.
  europepmc 2026 置信度 0.80
• Smart Materials Employed in the Construction Industry: A Systematic Review of Types, Properties, Applications, and Sustainability Performance.
  europepmc 2026 置信度 0.80
• A Review of the Mechanical Behavior of Magnesium Alloys in Compression: From Mechanistic Competition to Structural Regulation.
  europepmc 2026 置信度 0.80
• Research on the regional disparities and dynamic evolution of the coupling coordination level between digital industrialization and industrial digitalization in China.
  europepmc 2026 置信度 0.80
• Cloud-based collaborative CNC manufacturing framework integrating tool wear monitoring and scheduling support.
  europepmc 2026 置信度 0.80
• Development of a shop floor scheduling and allocation framework for operations management excellence using cutting-edge technologies.
  europepmc 2026 置信度 0.80
• Deriving proxy life cycle assessment datasets for manufacturing machines through data clustering.
  europepmc 2026 置信度 0.80
• How metaverse-enabled digital transformation drives sustainable supply chain innovation: evidence from Pakistan's textile industry.
  europepmc 2026 置信度 0.80
• Report 2022 on Trends and Risks of the Italian Financial System in a Comparative Perspective (Rapporto 2022 sulla congiuntura e i rischi del sistema finanziario italiano in una prospettiva comparata)
  preprints 2022 置信度 0.74
• Mandatory CSR in India – A Trailblazer from the East
  preprints 2022 置信度 0.74
• Financial Stability Amidst the Pandemic Crisis: On Top of the Wave
  The pandemic crisis, which broke out in early 2020, is still affecting human lives and economic activity around the globe, causing unprecedented transformations which were not foreseen just before its onset. The European Union, its citizens and the financial a…
  preprints 2021 置信度 0.74
• Hungry at the Table: White Paper on Grocery Workers at the Kroger Company
  preprints 2022 置信度 0.74
• Foreword: The Degradation of American Democracy—and the Court
  preprints 2020 置信度 0.74
• SOMA: a Multi-agent Digital Twin to Support Collaboration in Helicopter Engine Maintenance
  crossref Q. Lorente, Eric Villeneuve, C. Merlo, G. A. Boy 等 2026-05-20T02:52:37Z 置信度 0.70
• Digital twin technology fundamentals
  crossref Priyanka Gupta, Shubham Mishra, Manish Dixit 2025-06-16T14:31:58Z 置信度 0.70
• Possibilities with Digital Twin
  crossref Vismay Shah, Anilkumar Suthar 2022-11-22T10:46:30Z 置信度 0.70
• Architecture of Digital Twin for Network Forensic Analysis Using Nmap and Wireshark
  crossref Kapil Kumar, Manju Khari 2021-08-03T19:47:30Z 置信度 0.70
• Additive Manufacturing in Industry 5.0: Techniques, Applications, and Future Trends
  crossref Padmakumar Muthuswamy, Mogana Priya Chinnasamy 2026-05-20T23:45:26Z 置信度 0.70
• Demystifying the Digital Twin: Turning Complexity into a Competitive Advantage
  crossref Tim Kinman, Dale Tutt 2023-06-02T12:52:28Z 置信度 0.70
• Advanced Robotics Application in Industry 5.0 Manufacturing Processes
  crossref Vishakha Shadija, Vipin Sharma, Rajendra Kumar Shukla 2026-05-20T23:53:48Z 置信度 0.70
• Digital Twin Applications in the Agriculture and Farming Domain
  crossref R Sivaretinamohan 2025-03-05T18:47:44Z 置信度 0.70
• Digital Twin Types and Design
  crossref Pallavi Jain, Sunil Kumar Boran, Bhairvee Singh, Pankaj Singh 2024-07-22T14:51:45Z 置信度 0.70
• Additive Manufacturing and 3D Printing Revolution in Industry 5.0
  crossref Ngoc-Hien Tran, Thai-Son Nguyen 2026-05-21T00:18:29Z 置信度 0.70
• Machine Learning for Optimized Additive Manufacturing: Challenges, Opportunities, and Sustainability
  crossref Wisdom Simwila Kalunga, G. Prasad 2026-05-20T23:38:56Z 置信度 0.70
• Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control
  crossref Hediye Orhan, Esma Nisa Candan, Alperen Eroğlu, Hüseyin Haklı 2026-05-29T12:11:31Z 置信度 0.70
• A Digital-Twin Multi-agent Framework for Enterprise Cognitive Networking: ECNetBench and Leakage-safe Multi-seed Evaluation
  Enterprise cognitive networking lacks a shared, leakage-safe benchmark that couples multi-layer configuration, multi-modal telemetry, and supervised NetOps labels. We present ECNetBench, a synthetic enterprise benchmark under AOS-CX-style operational assumptio…
  crossref Audrey Rah 2026-08-14T11:06:24Z 置信度 0.70
• A digital twin approach to predict and compensate distortion in a High Pressure Die Casting (HPDC) process chain
  crossref Alireza Ebrahimi, Udo Fritsching, Michael Heuser, Dirk Lehmhus 等 2020-12-24T23:54:18Z 置信度 0.70
• Digital twin-enabled smart industrial systems: a bibliometric review
  crossref Maria Pia Ciano, Rossella Pozzi, Tommaso Rossi, Fernanda Strozzi 2020-12-17T00:09:13Z 置信度 0.70
• A Data-Centric Digital Twin Framework for Heterogeneous Engineering Information Integration in Industrial Product Development
  Modern products have reached a level of complexity that often necessitates the use of multiple software tools during development, for example, for modeling, simulation, data processing, and visualization. At the same time, sustainable data management has becom…
  crossref Jan Wagner, Peter Thoma 2026-06-04T03:15:25Z 置信度 0.70
• Review for "Degradation-as-Signal: A Digital-Twin Framework for Disposable Optical Glucose Sensing with Lead-Free Perovskite-Inspired Films"
  crossref 2026-04-22T21:02:01Z 置信度 0.70
• Path to the Digital Twin of Automated Fiber Placement
  Abstract The digital twin of a manufactured part is enabled by high-quality process feedback data integrated within a digital environment. This article describes this process, using the example of a novel sensing technology mounted to the head of an automated …
  crossref Marc Palardy-Sim, Steven Roy, Ali Yousefpour 2026-06-09T11:01:35Z 置信度 0.70
• Entwicklung im Doppeltakt: Integrierte Reifegradbewertung digitaler und nachhaltiger Transformation mit der Twin-Transformation-Matrix
  Zusammenfassung Angesichts zunehmender Regulierungs- und Transparenzanforderungen im Nachhaltigkeitskontext erweist sich eine isolierte Betrachtung der digitalen Transformation in Unternehmen heutzutage als unzureichend. Die Twin Transformation, oder auch Twin…
  crossref Sofiya Pohurskyy, Frank Teuteberg 2026-01-09T14:56:38Z 置信度 0.70
• Decision letter for "Research on Fault Self-Healing Architecture of Hongmeng-Grid Hybrid System Driven by Digital Twin"
  crossref 2026-02-13T21:05:37Z 置信度 0.70
• Urban Food Production Digital Twin: Opportunities and Challenges
  crossref Peter Ball, Ehsan Badakhshan 2023-01-01T01:15:22Z 置信度 0.70
• The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis
  crossref Zeyu Sun, Runtong Zhang, Xiaomin Zhu 2024-02-29T10:34:11Z 置信度 0.70
• A digital twin modeling method of atmospheric pressure control system for manned space docking
  crossref Zhen Zhang, Litao Liu, Wenxing Zhou, Bin Tang 等 2024-08-05T18:53:40Z 置信度 0.70
• Prescriptive Analytics - A Smart Manufacturing System for First-Time-Right Printing in Wire Arc Additive Manufacturing using a Digital Twin
  crossref Raven T. Reisch, Lucas Janisch, Joaquin Tresselt, Tobias Kamps 等 2023-07-18T12:37:01Z 置信度 0.70
• A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping
  crossref Weifei Hu, Chuxuan Wang, Feixiang Liu, Xiang Peng 等 2022-05-11T06:22:11Z 置信度 0.70
• Digital measurement twin for CMM inspection based on step-NC
  crossref Slavenko M. Stojadinovic, Sasa Zivanovic, Nikola Slavkovic, Numan M. Durakbasa 2021-09-03T15:52:20Z 置信度 0.70
• Digital twin of micro-milling process for micro-tool wear
  crossref Christiand, G. Kiswanto, A. S. Baskoro, T. J. Ko 2025-02-12T04:52:22Z 置信度 0.70
• AI-Driven Inverse Design and Digital Twin Prototype Framework for Magnetic Hyperthermia Nanoparticles
  In this study, an artificial intelligence (AI) supported material design and optimization system was developed to maximize the magnetic nanofluid hyperthermia performance, which is critical in cancer treatment. Traditional methods for the optimization and char…
  crossref Telem Simsek, Neslinaz Çermik, Enes Ayan 2026-08-21T11:50:40Z 置信度 0.70
• Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives
  crossref Xiangfu Fu, Shuo Li, Hongze Song, Yuqian Lu 2024-11-21T10:11:29Z 置信度 0.70
• Development of distributed network-based digital twin with real-time unstructured data processing: a case study on directed energy deposition system
  crossref Seung Woo Paek, Yongho Lee, Huichan Park, Hyewon Shin 等 2025-09-02T11:50:59Z 置信度 0.70
• Human digital twin for optimizing labor productivity in construction 5.0
  crossref Chukwuka Christian Ohueri 2026-01-29T05:09:11Z 置信度 0.70
• Safe Multi-Agent Reinforcement Learning for Low-Carbon District Heating Networks Using Digital Twin Validation
  The increasing integration of renewable heat sources, thermal energy storage and flexible heat-generation technologies has made district heating network (DHN) operation increasingly complex due to coupled variations in heat demand, electricity price, grid-carb…
  crossref Mohsin Khan, Shamsul Haq 2026-07-21T19:39:42Z 置信度 0.70
• A Digital-Twin-Enabled Transfer Learning Framework for Data-Efficient Structural Health Monitoring of Civil Infrastructure
  Digital twins are increasingly adopted for structural health monitoring (SHM) because they enable continuous condition assessment and data-driven asset management. However, machine-learning-based digital twins require large volumes of labeled damage data, whic…
  crossref Padma Poorani V 2026-07-08T00:39:37Z 置信度 0.70
• Digital twin: revealing potentials of real-time autonomous decisions at a manufacturing company
  crossref Julia Feldt, Thanos Kourouklis, Henning Kontny, Axel Wagenitz 2020-06-13T16:36:57Z 置信度 0.70
• Digital Twin for Additive Manufacturing: A Critical Tool for The Future
  crossref Atiq Ur Rehman, Vishal Naranje, Sachin Salunkhe, MVM Sankaram 2021-04-28T17:26:37Z 置信度 0.70
• Physical modeling for digital twin of Continuous Damping Control damper
  crossref Tao Li, Zhongyuan Liao, Yi Cai 2023-05-18T00:48:50Z 置信度 0.70
• Creation of a micro cutting machine tool digital-twin using a cloud-based model-based PLM Platform: first results
  crossref Luis López-Estrada, Marcelo Fajardo-Pruna, Santos Gualoto-Condor, José Ríos 等 2020-03-09T13:26:59Z 置信度 0.70
• Integration of machine learning and digital twin in additive manufacturing of polymeric-based materials and products
  Abstract Additive manufacturing (AM) has become a key enabler across industries, offering flexibility to produce complex, lightweight, and customized components. In recent years, machine learning (ML) has increasingly been adopted in AM to support tasks, such …
  crossref Imran Khan, Ans Al Rashid, Muammer Koç 2025-07-22T08:33:24Z 置信度 0.70
• AI-enabled Wireless Network Digital Twin (DT) and Fault Prediction
  In response to the latency contradiction between high-fidelity modeling of wireless network digital twins and AI real-time fault prediction, this paper proposes a dynamic lightweight modeling framework and a hierarchical AI collaborative prediction mechanism. …
  crossref Yanqing Lin 2026-08-20T11:23:50Z 置信度 0.70
• Adoption of Digital Twin Technology in China's Commercial Building Energy Sector: An IoT-Extended Technology Acceptance Model
  Digital twin technology, when coupled with the Internet of Things (IoT), offers building operators a continuously updated virtual representation of energy systems that can support real-time monitoring, fault diagnosis, and optimized control. Despite rapid grow…
  crossref Kai Ming 2026-07-23T21:51:29Z 置信度 0.70
• Research on Biomimetic Additive Manufacturing Technology Based on Digital Twin
  crossref Yongqi Chen, Yuduo Wei, Shaopeng Zheng 2025-12-23T08:41:53Z 置信度 0.70
• River-Scale Digital Twin for Cryo-Hydrological Systems: Architecture and Integration Principles from the JÄÄTwin Framework
  This contribution presents the system architecture, data pipelines, and modelling logic at a conceptual level for a Digital Twin prototype named JÄÄTwin. The aim of JÄÄTwin is to integrate near-real-time observations from multiple heterogeneous data sources, w…
  crossref Abolfazl Jalali Shahrood 2026-03-13T21:58:36Z 置信度 0.70
• Review for "Degradation-as-Signal: A Digital-Twin Framework for Disposable Optical Glucose Sensing with Lead-Free Perovskite-Inspired Films"
  crossref 2026-04-22T21:02:01Z 置信度 0.70
• The Unequal Twin Transition: A Bibliometric Analysis of Digital and Green Inequality Research
  Societies are undergoing a “twin transition”, in which digitalisation and decarbonisation unfold together and reshape existing inequalities. Yet we still lack a systematic overview of how research on digital, green and explicitly “twin” transitions conceptuali…
  crossref Eleni Kalantzi, Christina Kakderi, Anastasia Panori 2026-03-05T13:41:54Z 置信度 0.70
• Integrating the digital twin concept into the evaluation of reconfigurable manufacturing systems (RMS): literature review and research trend
  crossref Jesus Kombaya Touckia 2023-03-07T18:02:58Z 置信度 0.70
• Software framework concept with visual programming and digital twin for intuitive process creation with multiple robotic systems
  crossref Dario Niermann, Tobias Doernbach, Christoph Petzoldt, Melvin Isken 等 2023-01-31T08:16:44Z 置信度 0.70
• A Hybrid Physics–Data Digital Twin for Industrial Batch Melt Crystallization
  This study presents a hybrid digital twin framework that integrates first-principles modeling with data-driven learning to optimize batch melt crystallization processes. Operating on industrial data from 93 batches of a polymer intermediate purification system…
  crossref Wenru Chen, Binbin Zheng, Lingyu Zhu, Anjan Tula 2026-04-10T12:36:41Z 置信度 0.70
• AiFashion: Multi-Modal and Multi-Dimensional Large Model Based on Self-Trained Customer Digital-Twin for Fashion Design and Manufacturing
  crossref Zhaolin Yuan, Haoran Ding, Ming Li, Li Li 等 2025-03-18T17:31:16Z 置信度 0.70
• Digital Twin in manufacturing: A categorical literature review and classification
  crossref Werner Kritzinger, Matthias Karner, Georg Traar, Jan Henjes 等 2018-09-06T19:23:47Z 置信度 0.70
• Challenges in the Development of a Digital Twin for a Flexible Manufacturing Line: A Case Study
  crossref Jerzy Pater, Dorota Stadnicka 2025-09-27T21:52:51Z 置信度 0.70
• A digital twin-based assembly model for multi-source variation fusion on vision transformer
  crossref Yuming Liu, Yu Ren, Qingyuan Lin, Wencai Yu 等 2024-08-27T15:49:39Z 置信度 0.70
• Digital twin and cloud-side-end collaboration for intelligent battery management system
  crossref Yujie Wang, Ruilong Xu, Caijie Zhou, Xu Kang 等 2021-11-27T05:18:36Z 置信度 0.70
• BATTERY MANAGEMENT SYSTEM USING DIGITAL TWIN TECHNOLOGY
  crossref 2026-04-22T05:44:10Z 置信度 0.70
• Review for "Simulation and Experimental Verification of Vibration Signals for Bearing Faults in the Framework of Digital Twin"
  crossref 2026-06-27T21:05:09Z 置信度 0.70
• Dynamic Model Development
  crossref Ke Feng, Qing Ni, Hanbin Zhou 2026-07-21T14:49:34Z 置信度 0.70
• Advanced Construction Modelling and the Digital Twin Boundary: Information Continuity in Fast-Track Design-Build-Operate Delivery
  <span>Purpose – This paper examines what happens to project information when one organisation designs, builds and then operates a facility. It uses an integrated athletic complex delivered under a fast-track Design–Build–Operate arrangement in Riyadh to …
  crossref Tamer Ababneh 2026-08-27T08:41:56Z 置信度 0.70
• Right to the Digital Twin City? Citizen Participation and ‘Limits-by-Design’ in Rotterdam's Urban Digital Twin
  crossref Arthur de Jaeger, Thomas Swerts 2024-10-26T18:44:01Z 置信度 0.70
• The concept of digital twin used to investigate geometrical variations in the production of pipe spools
  crossref Thiago L. Fernandes, Crhistian R. Baldo, Gustavo D. Donatelli 2021-06-17T01:44:21Z 置信度 0.70
• Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing
  Digital twin (DT) is gaining popularity due to its significant impacts on bridging the gap between the physical and cyber worlds. As reported by Grand View Research, Inc., the global market of DT is expected to reach $26.07 billion by 2025 with a Compound Annu…
  crossref Jay Lee, Moslem Azamfar, Jaskaran Singh, Shahin Siahpour 2020-02-27T21:36:27Z 置信度 0.70
• Digital twin-enabled real-time control for robot arm-based manufacturing via reinforcement learning
  crossref Matsive Ali, Sandesh Giri, Qin Yang, Sen Liu 2025-11-11T09:09:40Z 置信度 0.70