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Over a decade has passed since a mysterious creator under the alias Satoshi Nakamoto (a pseudonym) launched Bitcoin in January 2009, who designed it as a decentralized (permissionless) purely peer-to-peer network of electronic cash that runs on blockchain usin…
preprints
2021
置信度 0.74
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europepmc
2026
置信度 0.80
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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Abstract Quality management systems in modern manufacturing are at a critical inflection point. Traditional Design Control frameworks including Design Development Plans (DDP), Design History Files (DHF), Verification and Validation (V&V), Design Inputs and Out…
europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
置信度 0.80
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Digital twins are comprised of computational models that mimic the 'as built' characteristics of devices, systems, and networks of systems whose performance in the real world warrants quantitative and critical assessment.The literature on constructing digital …
europepmc
2026
置信度 0.80
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2025
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europepmc
2026
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europepmc
2026
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2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2025
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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Ultra-precision machining (UPM) is an advanced manufacturing technology used to produce components with exceptionally high dimensional accuracy, surface integrity, and form precision [...].
europepmc
2026
置信度 0.80
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2025
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europepmc
2026
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europepmc
2026
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europepmc
2025
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2025
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2025
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europepmc
2026
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europepmc
2026
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europepmc
2025
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europepmc
2025
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europepmc
2026
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europepmc
2025
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Digital twins can revolutionize drug development and personalized care by accelerating timelines, reducing costs and failure rates, and potentially improving the safety and efficacy of new therapies. In this review, we explore different applications of digital…
europepmc
Sai Phanindra Venkatapurapu, Lindsay E. Clegg, Andrzej Nowojewski, Holly Kimko 等
2026
置信度 0.80
Drug discoveryTransparency (behavior)Health careKey (lock)Digital health
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europepmc
2025
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europepmc
2025
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europepmc
2026
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europepmc
2025
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europepmc
2025
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europepmc
2025
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Digital twins (DT) are sophisticated mathematical models representing real-world physical processes, equipped with predictive capabilities that adapt alongside the physical system. The successful implementation of DT in bioprocessing offers numerous advantages…
europepmc
Robert Taylor, Jasdeep Mandur, Umme Amira, Natalie Al‐Inati 等
2025
置信度 0.80
BioprocessProcess analytical technologyProcess engineeringStreamlines, streaklines, and pathlinesProcess (computing)
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europepmc
2026
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europepmc
2026
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europepmc
2026
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europepmc
2025
置信度 0.80
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The Internet of Things (IoT) continues to evolve rapidly, driven by advances in edge computing and swarm intelligence which enables digital innovation across various sectors worldwide, including mobility, energy, agriculture, manufacturing and more. Over the p…
datacite
INSTAR, Suarez, Tanya, Lemke, Max, Mihaylov, Svetoslav 等
2024
置信度 0.66
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This release includes the implementation of a Gated Graph Neural Network (GGNN)-based optimization framework for Automated Guided Vehicles (AGVs) in dynamic industrial environments. Key Features: Real-time task allocation and routing using GGNN. Comparison wit…
datacite
Naveen Sharma
2025
置信度 0.66
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This release includes the implementation of a Gated Graph Neural Network (GGNN)-based optimization framework for Automated Guided Vehicles (AGVs) in dynamic industrial environments. Key Features: Real-time task allocation and routing using GGNN.Comparison with…
datacite
Naveen Sharma
2025
置信度 0.66
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This release includes the implementation of a Gated Graph Neural Network (GGNN)-based optimization framework for Automated Guided Vehicles (AGVs) in dynamic industrial environments. Key Features: Real-time task allocation and routing using GGNN.Comparison with…
datacite
Naveen Sharma
2025
置信度 0.66
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We introduce PerfCam, an open source Proof-of-Concept (PoC) digital twinning framework that combines camera and sensory data with 3D Gaussian Splatting and computer vision models for digital twinning, object tracking, and Key Performance Indicators (KPIs) extr…
datacite
Khan, Michel Gokan, Guarese, Renan, Johnson, Fabian, Wang, Xi Vincent 等
2025
置信度 0.66
Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
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This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world dom…
datacite
Kota, Prakash
2025
置信度 0.66
Semiconductor ManufacturingPlasma EtchingNeural NetworksProcess OptimizationSurrogate Modeling
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This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world dom…
datacite
Kota, Prakash
2025
置信度 0.66
Semiconductor ManufacturingPlasma EtchingNeural NetworksProcess OptimizationSurrogate Modeling
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This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world dom…
datacite
Kota, Prakash
2025
置信度 0.66
Historical Process DataIndustrial Machine LearningPredictive AnalyticsProcess OptimizationNeural Networks
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This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world dom…
datacite
Kota, Prakash
2025
置信度 0.66
Historical Process DataIndustrial Machine LearningPredictive AnalyticsProcess OptimizationNeural Networks
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Background and Objective: Precise preoperative planning and effective physician training for coronary interventions are increasingly important. Despite advances in medical imaging technologies, transforming static or limited dynamic imaging data into comprehen…
datacite
Wang, Shuo, Ren, Tong, Cheng, Nan, Wang, Rong 等
2025
置信度 0.66
Computer Vision and Pattern Recognition (cs.CV)Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciencesI.3.8; I.6.8