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• SIML 2025; Internatinal Conference on Smart Computing, IoT and Machine Learning
  crossref 2025-07-22T18:00:49Z 置信度 0.70
• Integrated circuits and random nonlinear media for machine learning
  crossref Rachel Grange 2026-05-27T18:24:30Z 置信度 0.70
• Enhancing Real Estate Lease Abstraction Services with Machine Learning, Deep Learning, and AI
  crossref Ramakrishna Manchana 2024-10-01T09:43:46Z 置信度 0.70
• Machine Learning in the Optimization of Pharmacokinetic Parameters
  Pharmacokinetic parameters play a vital role in understanding drug absorption, distribution, metabolism, and excretion (ADME). Recently, machine learning (ML) has emerged as a powerful tool for modeling PK parameters, offering data-driven solutions and predict…
  crossref Md Mobarak Hossain, Souvik Pore, Arkaprava Banerjee, Kunal Roy 2026-07-22T08:41:26Z 置信度 0.70
• Machine Learning for Automated Theorem Proving: Learning to Solve SAT and QSAT
  The decision problem for Boolean satisfiability, generally referred to as SAT, is the archetypal NP-complete problem, and encodings of many problems of practical interest exist allowing them to be treated as SAT problems. Its generalization to quantified SAT (…
  crossref Sean B. Holden 2021-11-22T03:06:36Z 置信度 0.70
• Edge loss functions for deep-learning depth-map
  crossref Sandip Paul, Bhuvan Jhamb, Deepak Mishra, M. Senthil Kumar 2021-11-26T21:39:23Z 置信度 0.70
• Machine Learning Approaches in Big Data Analytics Optimization for Wireless Sensor Networks
  crossref G. Sabarmathi, R. Chinnaiyan 2021-08-12T17:05:23Z 置信度 0.70
• Overcoming Challenges in Predictive Modeling of Laser-Plasma Interaction Scenarios. The Sinuous Route from Advanced Machine Learning to Deep Learning
  crossref Andreea Mihailescu 2018-09-20T07:16:02Z 置信度 0.70
• Solutions Using Machine Learning for COVID-19
  crossref Muhammad Shafi, Kashif Zia, Jabar H. Yousif 2022-08-26T18:05:38Z 置信度 0.70
• Fingerprinting IoT Devices with Machine Learning
  crossref Morteza Safaei Pour, Elias Bou-Harb 2022-03-25T10:20:07Z 置信度 0.70
• Blockchaining and Machine Learning
  crossref R. Venkatesh, L. Godlin Atlas, C. Magesh kumar 2020-09-04T12:18:21Z 置信度 0.70
• Flattening and Saturation: Two Representation Changes for Generalization
  crossref Céline Rouveirol 2003-04-04T16:55:36Z 置信度 0.70
• Factorial Hidden Markov Models
  crossref Zoubin Ghahramani, Michael I. Jordan 2002-12-22T04:48:21Z 置信度 0.70
• Introduction to Machine Learning
  crossref 2026-05-29T21:20:26Z 置信度 0.70
• Quantum speedup, circuit decoupling, and stochastic modelling: on how quantum theory improves machine-learning, and how machine-learning helps to process quantum information
  crossref Ximing Wang 2025-02-05T01:55:31Z 置信度 0.70
• Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!
  Machine learning is enabling the discovery of dynamical systems models and governing equations purely from measurement data. Five years after the original SINDy paper, we revisit this topic, describing the algorithm and exploring the main challenges for comput…
  crossref Steven L Brunton 2023-03-28T13:00:19Z 置信度 0.70
• Support Vector Data Description
  crossref David M.J. Tax, Robert P.W. Duin 2003-12-16T08:41:04Z 置信度 0.70
• 303Chapter 10 Big Data and Applications of AI and Machine Learning in Different domain
  crossref 2026-07-07T15:51:26Z 置信度 0.70
• Chapter 4 Machine learning and deep learning
  crossref Sourabh Sharma, Poonam Chaudhary 2023-08-08T04:30:00Z 置信度 0.70
• Deep learning and the geometry of compactness in stability and generalization
  crossref Mohammad Meysami, Ali Lotfi, Sehar Saleem 2025-12-13T16:22:55Z 置信度 0.70
• Improving Sequence Tagging using Machine-Learning Techniques
  crossref Wei Jiang, Xiao-long Wang, Yi Guan 2007-01-03T20:48:44Z 置信度 0.70
• Machine Learning in Fluids: Pairing Methods with Problems
  crossref S. Brunton 2023-01-12T00:06:20Z 置信度 0.70
• Machine Learning-Based Algorithms for Weather Forecasting
  crossref Ismaila Oshodi 2022-11-28T10:06:02Z 置信度 0.70
• Adversarial Machine Learning
  crossref Ziv Katzir, Yuval Elovici 2023-08-17T08:02:17Z 置信度 0.70
• A Branch and Bound Incremental Conceptual Clusterer
  crossref Arthur J. Nevins 2003-04-04T16:57:10Z 置信度 0.70
• Exploration Bonuses and Dual Control
  crossref Peter Dayan, Terrence J. Sejnowski 2003-02-06T17:08:17Z 置信度 0.70
• Artificial intelligence, machine learning, and deep learning technologies as catalysts for industry 4.0, 5.0, and society 5.0
  Industry 4.0 brought with it by the next-gen Industry 5.0 and Society 5.0 paradigms, catalysed by Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technologies. These advances have the benefit of encouraging sustainability, improving…
  crossref Nitin Liladhar Rane, Ömer Kaya, Jayesh Rane 2024-10-22T06:26:50Z 置信度 0.70
• Bridging the Gap
  MLOps, the application of DevOps principles to Machine Learning (ML) and Deep Learning (DL), enables efficient, reproducible, and scalable AI workflows. This chapter examines how classical DevOps practices—Continuous Integration, Continuous Delivery, Infrastru…
  crossref Otmane Azeroual 2026-07-01T17:12:35Z 置信度 0.70
• Simulation Daily Mobility using J48 Algorithms of Machine Learning for Predicting Workplace
  crossref Khalid Qbouche, Khadija Rhoulami 2022-05-25T09:53:41Z 置信度 0.70
• A machine learning approach to vulnerability detection combining software metrics and topic modelling: Evidence from smart contracts
  crossref Giacomo Ibba, Rumyana Neykova, Marco Ortu, Roberto Tonelli 等 2025-10-18T17:33:18Z 置信度 0.70
• The Machine Learning journal: 25 years young
  crossref Peter A. Flach 2011-02-11T20:30:35Z 置信度 0.70
• Machine Learning Algorithms in Reproductive Health
  crossref Ananya Verma, Rajshri Singh, Sagar Barage 2024-11-06T18:29:25Z 置信度 0.70
• Applications of Machine Learning in Speech Recognition
  crossref Alexandre Davitaia 2025-08-22T10:08:52Z 置信度 0.70
• Leveraging Machine Learning to Enhance Information Exploration
  Machine learning algorithms are revolutionizing intelligent search and information discovery capabilities. By incorporating techniques like supervised learning, unsupervised learning, reinforcement learning, and deep learning, systems can automatically extract…
  crossref Nikhil Ghadge 2024-07-18T02:08:06Z 置信度 0.70
• Hypertension Detection System Using Machine Learning
  The medical condition known as hypertension, or high blood pressure, is characterized by persistently elevated blood pressure against the arterial walls. Generally speaking, an individual should maintain blood pressure from 120/80 mm Hg. Whenever blood pressur…
  crossref Amrita Bhatnagar, Kamna Singh 2024-10-15T06:29:03Z 置信度 0.70
• Evaluating the Generalizability of Machine Learning Models for Seismic Data Prediction Across Different Regions
  crossref Yuning Cai 2025-07-01T22:45:28Z 置信度 0.70
• From classical machine learning algorithms to modern transformer-inspired neural networks for multi-target prediction of fracture properties in concrete structures
  crossref Mohammad Hossein Nikzad, Mohammad Heidari-Rarani, Pooya Sareh 2026-02-27T07:55:15Z 置信度 0.70
• Bio-Inspired Algorithms using Machine Learning and Deep Learning for Social Phobia Treatment
  crossref M. Abinaya, G. Vadivu, S. Balasubramaniam, B. Sundaravadivazhagan 2025-01-02T15:33:02Z 置信度 0.70
• Design and Implementation of Tiny ML Model Using STM32F Platform
  crossref Sreedhar Namratha, R. Bhagya, R. Bharthi 2024-03-08T17:02:06Z 置信度 0.70
• Machine Learning Techniques
  crossref Durga Lal Shrestha 2026-01-06T12:06:32Z 置信度 0.70
• An overview of the machine learning role in cybersecurity transformation
  crossref Kutub Thakur, Al-Sakib Khan Pathan 2025-11-05T17:32:46Z 置信度 0.70
• Machine Learning Methods for Building Small Area Classifications
  crossref Adegbola Ojo 2020-11-06T18:14:16Z 置信度 0.70
• Data-Driven Decision Making: How Small Businesses Can Leverage Analytics to Scale in the United States
  Data-Driven Decision Making: How Small Businesses Can Leverage Analytics to Scale in the United States 1. Introduction In recent years, data-driven decision making has become a crucial factor for the success of companies of all sizes. While large corporations …
  datacite ARAUJO, LIGIA 2025 置信度 0.66
• How Financial Consulting Can Help Prevent Business Bankruptcy in the U.S.
  How Financial Consulting Can Help Prevent Business Bankruptcy in the U.S. Abstract The rise in corporate bankruptcies across various sectors and business sizes in the United States highlights the importance of financial consulting as a fundamental tool for ens…
  datacite ARAUJO, LIGIA 2025 置信度 0.66
• How Financial Consulting Can Help Prevent Business Bankruptcy in the U.S.
  How Financial Consulting Can Help Prevent Business Bankruptcy in the U.S. Abstract The rise in corporate bankruptcies across various sectors and business sizes in the United States highlights the importance of financial consulting as a fundamental tool for ens…
  datacite ARAUJO, LIGIA 2025 置信度 0.66
• Innovations in android mobile computing: a review of best practices and emerging technologies
  This review paper explores the dynamic landscape of Android mobile computing, focusing on best practices and emerging technologies driving innovation in the field. The paper begins by discussing the current state of Android development, highlighting key challe…
  datacite Oluwayemisi Oluwashemilore Runsewe, Olajide Soji Osundare, Samuel Olaoluwa Folorunsho, Lucy Anthony Akwawa 2024 置信度 0.66 Android mobile computingBest practicesEmerging technologiesArtificial intelligence (AI)5G integration
• Innovations in android mobile computing: a review of best practices and emerging technologies
  This review paper explores the dynamic landscape of Android mobile computing, focusing on best practices and emerging technologies driving innovation in the field. The paper begins by discussing the current state of Android development, highlighting key challe…
  datacite Oluwayemisi Oluwashemilore Runsewe, Olajide Soji Osundare, Samuel Olaoluwa Folorunsho, Lucy Anthony Akwawa 2024 置信度 0.66 Android mobile computingBest practicesEmerging technologiesArtificial intelligence (AI)5G integration
• Contributions to the Design and Application of Integrated Multi-Sensor and Actuator Electronics with Self-X Properties for Robust Integrated Intelligent Systems
  The swift progress in smart sensor technologies, Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems has led to evolving the sensor standards to enable Industry 4.0, the industrial domain where adaptability, efficiency, and reliabilit…
  datacite Alraho, Senan 2025 置信度 0.66 004 Informatik
• The evolution of green fintech: Leveraging AI and IoT for sustainable financial services and smart contract implementation
  The convergence of financial technology and sustainability has given rise to green fintech, an innovative field leveraging cutting-edge technologies to address environmental challenges through financial solutions. This review explores the evolution of green fi…
  datacite Oluwafemi Elias, Opeyemi Joseph Awotunde, Oladiipo Ishola Oladepo, Patience Farida Azuikpe 等 2024 置信度 0.66 Green FintechArtificial IntelligenceInternet of ThingsSmart ContractsSustainable Finance
• The evolution of green fintech: Leveraging AI and IoT for sustainable financial services and smart contract implementation
  The convergence of financial technology and sustainability has given rise to green fintech, an innovative field leveraging cutting-edge technologies to address environmental challenges through financial solutions. This review explores the evolution of green fi…
  datacite Oluwafemi Elias, Opeyemi Joseph Awotunde, Oladiipo Ishola Oladepo, Patience Farida Azuikpe 等 2024 置信度 0.66 Green FintechArtificial IntelligenceInternet of ThingsSmart ContractsSustainable Finance
• Data-driven decision making in IT: Leveraging AI and data science for business intelligence
  Data-driven decision-making (DDDM) has become a cornerstone in modern IT and business landscapes, leveraging the immense potential of artificial intelligence (AI) and data science to transform raw data into actionable insights. This review paper explores the i…
  datacite Comfort Idongesit Michael, Oluwaseun Johnson Ipede, Adejoke Deborah Adejumo, Ibrahim Oyeyemi Adenekan 等 2024 置信度 0.66 Artificial IntelligenceBusiness IntelligenceData ScienceData Analytics
• Data-driven decision making in IT: Leveraging AI and data science for business intelligence
  Data-driven decision-making (DDDM) has become a cornerstone in modern IT and business landscapes, leveraging the immense potential of artificial intelligence (AI) and data science to transform raw data into actionable insights. This review paper explores the i…
  datacite Comfort Idongesit Michael, Oluwaseun Johnson Ipede, Adejoke Deborah Adejumo, Ibrahim Oyeyemi Adenekan 等 2024 置信度 0.66 Artificial IntelligenceBusiness IntelligenceData ScienceData Analytics
• A Predictive Maintenance Framework for Offshore Industrial Equipment: Digital Transformation for Enhanced Reliability
  This review presents a novel predictive maintenance framework designed to enhance the reliability of offshore industrial equipment by integrating artificial intelligence (AI), the Internet of Things (IoT), and 3D modeling. In offshore energy operations, mainta…
  datacite David Chinalu, Anaba, Mercy Odochi, Agho, Ekene Cynthia, Onukwulu, Peter Ifechukwude, Egbumokei 2025 置信度 0.66 Predictive Maintenance, Offshore, Digital Transformation, Industrial Equipment, Framework
• A Predictive Maintenance Framework for Offshore Industrial Equipment: Digital Transformation for Enhanced Reliability
  This review presents a novel predictive maintenance framework designed to enhance the reliability of offshore industrial equipment by integrating artificial intelligence (AI), the Internet of Things (IoT), and 3D modeling. In offshore energy operations, mainta…
  datacite David Chinalu, Anaba, Mercy Odochi, Agho, Ekene Cynthia, Onukwulu, Peter Ifechukwude, Egbumokei 2025 置信度 0.66 Predictive Maintenance, Offshore, Digital Transformation, Industrial Equipment, Framework
• AI-Driven Automation in Retail: Delivering Personalized Customer Experiences at Scale
  The retail industry has experienced a profound transformation with the integration of artificial intelligence (AI) and automation technologies, enabling businesses to meet growing consumer demands for personalized experiences at scale. This paper explores how …
  datacite Vidushi Sharma 2022 置信度 0.66
• AI-Driven Automation in Retail: Delivering Personalized Customer Experiences at Scale
  The retail industry has experienced a profound transformation with the integration of artificial intelligence (AI) and automation technologies, enabling businesses to meet growing consumer demands for personalized experiences at scale. This paper explores how …
  datacite Vidushi Sharma 2022 置信度 0.66
• A foundation model for human-AI collaboration in medical literature mining
  Systematic literature review is essential for evidence-based medicine, requiring comprehensive analysis of clinical trial publications. However, the application of artificial intelligence (AI) models for medical literature mining has been limited by insufficie…
  datacite Wang, Zifeng, Cao, Lang, Jin, Qiao, Chan, Joey 等 2025 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• IMPACT OF METAVERSE ECOSYSTEM ON DIGITAL MARKETING
  ABSTRACTThe purpose of this review paper is to analyze the marketing ecosystem in the metaversewith a special focus on the practices and opportunities of digital marketing in a threedimensional business environment. Metaverse can be seen as a new marketing eco…
  datacite Seybold Report 2022 置信度 0.66 Metaverse, Digital Marketing, Artificial Intelligence,, Augmented and Virtual Reality,Avatars
• IMPACT OF METAVERSE ECOSYSTEM ON DIGITAL MARKETING
  ABSTRACTThe purpose of this review paper is to analyze the marketing ecosystem in the metaversewith a special focus on the practices and opportunities of digital marketing in a threedimensional business environment. Metaverse can be seen as a new marketing eco…
  datacite Seybold Report 2022 置信度 0.66 Metaverse, Digital Marketing, Artificial Intelligence,, Augmented and Virtual Reality,Avatars
• From bench to bedside – current clinical and translational challenges in fibula free flap reconstruction
  Fibula free flaps (FFF) represent a working horse for different reconstructive scenarios in facial surgery. While FFF were initially established for mandible reconstruction, advancements in planning for microsurgical techniques have paved the way toward a broa…
  datacite Baecher, Helena, Hoch, Cosima C., Knoedler, Samuel, Maheta, Bhagvat J. 等 2023 置信度 0.66 fibula free flap, mandibular reconstruction, artificial intelligence, 3D printing, computer-aided design, CAM, bioprinting610 Medizin
• From the Mathematical Foundations to the Physical Models: A Year in Review of Neuromorphic Reliability
  Moving along in parallel with the emergence of ever stronger artificial intelligence, the development of next generation AI hardware which harnesses the unique properties of physical systems, beyond classical digital computing, has been continuously evolving. …
  datacite IEEE International Symposium on Reliability Physics 2024, Hoskins, Brian 2024 置信度 0.66 Reliability Physics
• Towards machine learning-assisted electronic design automation: microwave filter, power amplifier, and semiconductor device
  Over the decades of development, electronic design automation (EDA) has been widely applied in most electronic design problems, especially in advanced and sophisticated digital systems. In contrast, the degree of automation for distributed-element circuits, e.…
  datacite Xue, Liyuan 2024 置信度 0.66
• Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
  Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for individuals with partial or profound hearing impairments. The process involves recei…
  datacite Essaid, Billel, Kheddar, Hamza, Batel, Noureddine, Chowdhury, Muhammad E. H. 等 2024 置信度 0.66 Audio and Speech Processing (eess.AS)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)FOS: Electrical engineering, electronic engineering, information engineering
• Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
  The emergence of artificial intelligence (AI), particularly deep learning (DL), has marked a new era in the realm of ophthalmology, offering transformative potential for the diagnosis and treatment of posterior segment eye diseases. This review explores the cu…
  datacite Nguyen, Duy M. H., Alam, Hasan Md Tusfiqur, Nguyen, Tai, Srivastav, Devansh 等 2025 置信度 0.66 Image and Video Processing (eess.IV)Computer Vision and Pattern Recognition (cs.CV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• Artificial Intelligence in High-tech Manufacturing: A Review of Applications in Quality Control and Process Optimization
  Artificial intelligence (AI) has emerged as a transformative technology in high-tech manufacturing, particularly in the areas of quality control and process optimization. This review explores the applications, challenges, and future trends of AI in critical as…
  datacite Tarun Parmar 2022 置信度 0.66
• Artificial Intelligence in High-tech Manufacturing: A Review of Applications in Quality Control and Process Optimization
  Artificial intelligence (AI) has emerged as a transformative technology in high-tech manufacturing, particularly in the areas of quality control and process optimization. This review explores the applications, challenges, and future trends of AI in critical as…
  datacite Tarun Parmar 2022 置信度 0.66
• Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
  Can artificial intelligence unlock the secrets of the human brain? How do the inner mechanisms of deep learning models relate to our neural circuits? Is it possible to enhance AI by tapping into the power of brain recordings? These captivating questions lie at…
  datacite Oota, Subba Reddy, Chen, Zijiao, Gupta, Manish, Bapi, Raju S. 等 2023 置信度 0.66 Neurons and Cognition (q-bio.NC)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Computer Vision and Pattern Recognition (cs.CV)Human-Computer Interaction (cs.HC)
• Technological Innovations in Osteoporosis Diagnosis and their Implications for Bone Metastases Management in Oncology
  Advances in technology are revolutionizing osteoporosis diagnosis, with significant implications for managing bone metastases in oncology. This review examines cutting-edge diagnostic innovations, including high-resolution imaging techniques like peripheral qu…
  datacite David Oche Idoko, Moyosoore Mopelola Adegbaju, Abdulrahman Abdullateef, Nduka Ijeoma 2024 置信度 0.66
• Technological Innovations in Osteoporosis Diagnosis and their Implications for Bone Metastases Management in Oncology
  Advances in technology are revolutionizing osteoporosis diagnosis, with significant implications for managing bone metastases in oncology. This review examines cutting-edge diagnostic innovations, including high-resolution imaging techniques like peripheral qu…
  datacite David Oche Idoko, Moyosoore Mopelola Adegbaju, Abdulrahman Abdullateef, Grace Chinenye Okafor 等 2024 置信度 0.66
• Technological Innovations in Osteoporosis Diagnosis and their Implications for Bone Metastases Management in Oncology
  Advances in technology are revolutionizing osteoporosis diagnosis, with significant implications for managing bone metastases in oncology. This review examines cutting-edge diagnostic innovations, including high-resolution imaging techniques like peripheral qu…
  datacite David Oche Idoko, Moyosoore Mopelola Adegbaju, Abdulrahman Abdullateef, Nduka Ijeoma 2024 置信度 0.66
• Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks
  Artificial Intelligence Generated Content (AIGC) has gained significant popularity for creating diverse content. Current AIGC models primarily focus on content quality within a centralized framework, resulting in a high service delay and negative user experien…
  datacite Xu, Changfu, Guo, Jianxiong, Lin, Wanyu, Zou, Haodong 等 2024 置信度 0.66 Machine Learning (cs.LG)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
• LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency
  The recent rise of semantic-style communications includes the development of goal-oriented communications (GOCOMs) remarkably efficient multimedia information transmissions. The concept of GO-COMS leverages advanced artificial intelligence (AI) tools to addres…
  datacite Wijesinghe, Achintha, Wanninayaka, Suchinthaka, Wang, Weiwei, Chao, Yu-Chieh 等 2024 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Image and Video Processing (eess.IV)FOS: Computer and information sciencesFOS: Computer and information sciences
• Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities
  Monitoring fatigue is essential for improving safety, particularly for people who work long shifts or in high-demand workplaces. The development of wearable technologies, such as fitness trackers and smartwatches, has made it possible to continuously analyze p…
  datacite Kakhi, Kourosh, Jagatheesaperumal, Senthil Kumar, Khosravi, Abbas, Alizadehsani, Roohallah 等 2024 置信度 0.66 Human-Computer Interaction (cs.HC)Emerging Technologies (cs.ET)FOS: Computer and information sciencesFOS: Computer and information sciencesH.5.2; J.3; I.2.6; H.2.8
• Redefining orofacial rehabilitation for transformative clinical outcomes.
  Abstract Orofacial rehabilitation is a cornerstone in restoring function, aesthetics, and quality of life for individuals affected by congenital anomalies, trauma, or disease. While conventional approaches have achieved significant milestones, the evolving dem…
  datacite N. Gopi Chander 2024 置信度 0.66 3D printingArtificial IntelligenceCAD/CAMOrofacial rehabilitation
• Redefining orofacial rehabilitation for transformative clinical outcomes.
  Abstract Orofacial rehabilitation is a cornerstone in restoring function, aesthetics, and quality of life for individuals affected by congenital anomalies, trauma, or disease. While conventional approaches have achieved significant milestones, the evolving dem…
  datacite N. Gopi Chander 2024 置信度 0.66 3D printingArtificial IntelligenceCAD/CAMOrofacial rehabilitation
• ASReview setting's project for replication and assessment purpose regarding to Enterprise Knowledge Creation: A Systematic Review of Ontological and Epistemological Approaches Exploring AI Opportunities
  ASReview setting's project for replication and assessment purpose regarding to an SRL entitled 'Enterprise Knowledge Creation: A Systematic Review of Ontological and Epistemological Approaches Exploring AI Opportunities' In the modern business landscape, effec…
  datacite Cunha, Jefferson, Meira, Silvio 2024 置信度 0.66 Knowledge ManagementOdontologyEpistemologyArtificial intelligenceSystematic Reviews as Topic
• ASReview setting's project for replication and assessment purpose regarding to Enterprise Knowledge Creation: A Systematic Review of Ontological and Epistemological Approaches Exploring AI Opportunities
  ASReview setting's project for replication and assessment purpose regarding to an SRL entitled 'Enterprise Knowledge Creation: A Systematic Review of Ontological and Epistemological Approaches Exploring AI Opportunities' In the modern business landscape, effec…
  datacite Cunha, Jefferson, Meira, Silvio 2024 置信度 0.66 Knowledge ManagementOdontologyEpistemologyArtificial intelligenceSystematic Reviews as Topic
• THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HEALTH ECONOMICS: THEORETICAL AND CONCEPTUAL FOUNDATIONS
  Artificial intelligence (AI) is rapidly emerging as a transformative force in healthcare, dramatically improving the efficiency, quality and accessibility of care. This article draws on frameworks such as transaction cost theory, human capital theory and the e…
  datacite EL BAKIRDI, ZAKARIA, AHNYNE, REDOUANE, NASEH, MALIKA 2024 置信度 0.66 ARTIFICIAL INTELLIGENCE (AI)HEALTH ECONOMICSTRANSACTION COSTSHUMAN CAPITALINNOVATION
• Current Trends in Computer Networking and Management in the Era of AI, ML and DS
  The field of computer networking and management is witnessing rapid evolution and innovation driven by emerging technologies and the growing demands of modern applications. This review explores current trends in computer networking and management, encompassing…
  datacite Sunil Jadhav, Bhalchandra PU, Narangale SM, Kurundkar GD 2024 置信度 0.66 Computer NetworksArtificial IntelligenceSoftware-Defined NetworkingIOTNetwork Management
• Current Trends in Computer Networking and Management in the Era of AI, ML and DS
  The field of computer networking and management is witnessing rapid evolution and innovation driven by emerging technologies and the growing demands of modern applications. This review explores current trends in computer networking and management, encompassing…
  datacite Sunil Jadhav, Bhalchandra PU, Narangale SM, Kurundkar GD 2024 置信度 0.66 Computer NetworksArtificial IntelligenceSoftware-Defined NetworkingIOTNetwork Management
• Generative Semantic Communication: Architectures, Technologies, and Applications
  This paper delves into the applications of generative artificial intelligence (GAI) in semantic communication (SemCom) and presents a thorough study. Three popular SemCom systems enabled by classical GAI models are first introduced, including variational autoe…
  datacite Ren, Jinke, Sun, Yaping, Du, Hongyang, Yuan, Weiwen 等 2024 置信度 0.66 Information Theory (cs.IT)Machine Learning (cs.LG)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Deliverable D8.1 (D18) Report on the provision of a set of promising technologies relevant to Safe and Just Operating Space
  This report identifies innovative technologies that can transform agriculture and food production to align with the European Green Deal’s goals. This transformation aims to achieve climate neutrality while reducing environmental harm and promoting social equit…
  datacite Ahado, Samuel, Žáková Kroupová, Zdeňka, Čechura, Lukáš, Pokorny, Ondrej 等 2024 置信度 0.66
• Deliverable D8.1 (D18) Report on the provision of a set of promising technologies relevant to Safe and Just Operating Space
  This report identifies innovative technologies that can transform agriculture and food production to align with the European Green Deal’s goals. This transformation aims to achieve climate neutrality while reducing environmental harm and promoting social equit…
  datacite Ahado, Samuel, Žáková Kroupová, Zdeňka, Čechura, Lukáš, Pokorny, Ondrej 等 2024 置信度 0.66
• Emerging Trends in Machine Learning assisted Optimization Techniques Across Intelligent Transportation systems
  Artificial intelligence (AI) plays a critical role in Intelligent Transport Systems (ITS) as urban areas grow by processing data for safety enhancements, predictive analysis, and traffic management. This results in better traffic control, lower emissions, and …
  datacite Itoro Afolayan, Blessing, Ghosh, Arka, Fajardo Calderın, Jenny, Masegosa, Antonio D. 2024 置信度 0.66 Artificial intelligencegenerative AImodel predictive controlmodel-based optimizationReinforcement learning
• Emerging Trends in Machine Learning assisted Optimization Techniques Across Intelligent Transportation systems
  Artificial intelligence (AI) plays a critical role in Intelligent Transport Systems (ITS) as urban areas grow by processing data for safety enhancements, predictive analysis, and traffic management. This results in better traffic control, lower emissions, and …
  datacite Itoro Afolayan, Blessing, Ghosh, Arka, Fajardo Calderın, Jenny, Masegosa, Antonio D. 2024 置信度 0.66 Artificial intelligencegenerative AImodel predictive controlmodel-based optimizationReinforcement learning
• AI-DRIVEN PREDICTIVE MAINTENANCE: REVOLUTIONIZING TELECOMMUNICATIONS NETWORK MANAGEMENT
  Emphasizing the change from reactive to proactive maintenance techniques, this article investigates the transforming effect of artificial intelligence-driven predictive maintenance systems in the telecommunications sector. By means of a review of present imple…
  datacite Researcher 2024 置信度 0.66 Artificial Intelligence, Predictive Maintenance, Telecommunications Networks, Machine Learning, Network Reliability, Operational Efficiency
• AI-DRIVEN PREDICTIVE MAINTENANCE: REVOLUTIONIZING TELECOMMUNICATIONS NETWORK MANAGEMENT
  Emphasizing the change from reactive to proactive maintenance techniques, this article investigates the transforming effect of artificial intelligence-driven predictive maintenance systems in the telecommunications sector. By means of a review of present imple…
  datacite Researcher 2024 置信度 0.66 Artificial Intelligence, Predictive Maintenance, Telecommunications Networks, Machine Learning, Network Reliability, Operational Efficiency
• Text-to-Image Synthesis: A Decade Survey
  When humans read a specific text, they often visualize the corresponding images, and we hope that computers can do the same. Text-to-image synthesis (T2I), which focuses on generating high-quality images from textual descriptions, has become a significant aspe…
  datacite Zhang, Nonghai, Tang, Hao 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• 1624.pdf
  This study investigates the factors influencing the adoption of e-commerce technologies among Small and Medium-sized Enterprises (SMEs) in Xi'an, China, emphasizing the role of organizational learning, information culture, and advancements in digital technolog…
  datacite li, kai feng 2024 置信度 0.66 International business
• Revolutionizing Health Care. The Impact of Emerging Technologies
  Abstract Background and purpose. Medicine and health care sphere become more and more important due to quickness of life and getting older populacy. It cause the need of contact with medicine but as it is presented not only with medical staff. The purpose of t…
  datacite Adam Popek 2024 置信度 0.66
• Revolutionizing Health Care. The Impact of Emerging Technologies
  Abstract Background and purpose. Medicine and health care sphere become more and more important due to quickness of life and getting older populacy. It cause the need of contact with medicine but as it is presented not only with medical staff. The purpose of t…
  datacite Adam Popek 2024 置信度 0.66
• Federated Continual Learning for Edge-AI: A Comprehensive Survey
  Edge-AI, the convergence of edge computing and artificial intelligence (AI), has become a promising paradigm that enables the deployment of advanced AI models at the network edge, close to users. In Edge-AI, federated continual learning (FCL) has emerged as an…
  datacite Wang, Zi, Wu, Fei, Yu, Feng, Zhou, Yurui 等 2024 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Distributed, Parallel, and Cluster Computing (cs.DC)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciences
• Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies
  Osteoarthritis (OSA) is a prevalent joint disorder characterized by losing articular cartilage, primarily affecting the hip, knee and spine joints. The impact of OSA offers a major challenge to health systems globally. Therapeutic approaches encompass surgical…
  datacite Gaddala, Pavani, Choudhary, Shalki, Sethi, Sheshank, Jyothi, Vaskuri GS Sainaga 等 2024 置信度 0.66 MedicinePharmacologyBiotechnologyEcologyFOS: Biological sciences
• Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies
  Osteoarthritis (OSA) is a prevalent joint disorder characterized by losing articular cartilage, primarily affecting the hip, knee and spine joints. The impact of OSA offers a major challenge to health systems globally. Therapeutic approaches encompass surgical…
  datacite Gaddala, Pavani, Choudhary, Shalki, Sethi, Sheshank, Jyothi, Vaskuri GS Sainaga 等 2024 置信度 0.66 MedicinePharmacologyBiotechnologyEcologyFOS: Biological sciences
• Conversions of IoT, Edge and Cloud Computing
  Over the past few years, the idea of edge computing has seen substantial expansion in both academic and industrial circles. This computing approach has garnered attention due to its integrating role in advancing various state-of-the-art technologies such as In…
  datacite Wankhade, Shubham D., Raut, Prof. Snehal V. 2024 置信度 0.66 IoT, Internet of Things, Edge Computing, Cloud Computing, etc.
• Conversions of IoT, Edge and Cloud Computing
  Over the past few years, the idea of edge computing has seen substantial expansion in both academic and industrial circles. This computing approach has garnered attention due to its integrating role in advancing various state-of-the-art technologies such as In…
  datacite Wankhade, Shubham D., Raut, Prof. Snehal V. 2024 置信度 0.66 IoT, Internet of Things, Edge Computing, Cloud Computing, etc.
• AI-enhanced manufacturing robotics: A review of applications and trends
  This review explores the transformative impact of artificial intelligence (AI) on manufacturing robotics, elucidating a comprehensive overview of applications and emerging trends within the realm of smart manufacturing. As industries increasingly embrace Indus…
  datacite Riliwan Adekola Adebayo, Nwankwo Constance Obiuto, Oladiran Kayode Olajiga, Igberaese Clinton Festus-Ikhuoria 2024 置信度 0.66 AI-EnhancedManufacturingRoboticsApplicationsTrends
• AI-enhanced manufacturing robotics: A review of applications and trends
  This review explores the transformative impact of artificial intelligence (AI) on manufacturing robotics, elucidating a comprehensive overview of applications and emerging trends within the realm of smart manufacturing. As industries increasingly embrace Indus…
  datacite Riliwan Adekola Adebayo, Nwankwo Constance Obiuto, Oladiran Kayode Olajiga, Igberaese Clinton Festus-Ikhuoria 2024 置信度 0.66 AI-EnhancedManufacturingRoboticsApplicationsTrends
• ARTIFICIAL INTELLIGENCE IN ENTERPRISE RESOURCE PLANNING: A SYSTEMATIC REVIEW OF INNOVATIONS, APPLICATIONS, AND FUTURE DIRECTIONS
  The revolutionary significance of artificial intelligence (AI) in contemporary enterprise resource planning (ERP) systems is examined in this article systematic review, which synthesizes recent findings and advancements from a variety of fields. The article hi…
  datacite Researcher 2024 置信度 0.66 Enterprise Resource Planning (ERP), Artificial Intelligence Integration, Business Process Automation, Predictive Analytics, Cognitive Computing Systems
• ARTIFICIAL INTELLIGENCE IN ENTERPRISE RESOURCE PLANNING: A SYSTEMATIC REVIEW OF INNOVATIONS, APPLICATIONS, AND FUTURE DIRECTIONS
  The revolutionary significance of artificial intelligence (AI) in contemporary enterprise resource planning (ERP) systems is examined in this article systematic review, which synthesizes recent findings and advancements from a variety of fields. The article hi…
  datacite Researcher 2024 置信度 0.66 Enterprise Resource Planning (ERP), Artificial Intelligence Integration, Business Process Automation, Predictive Analytics, Cognitive Computing Systems