Adaptive reconstruction of digital twins for machining systems: A transfer learning approach

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Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

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A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin

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A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning

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Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing

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Data augmentation for deep-learning-based electroencephalography

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Digital twin modeling method based on biomimicry for machining aerospace components

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Knowledge Transfer for Rotary Machine Fault Diagnosis

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Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review

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Real-time machining data application and service based on IMT digital twin

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A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction

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A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment

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Digital Twin-driven machining process for thin-walled part manufacturing

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A novel transfer learning framework for time series forecasting

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Consistency retention method for CNC machine tool digital twin model

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Simulation-based decision support tool for in-house logistics: the basis for a digital twin

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Milling force prediction model based on transfer learning and neural network

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Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining

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Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring

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Machining process-oriented monitoring method based on digital twin via augmented reality

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Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer

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A classification proposal of digital twin applications in the safety domain

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Cutting Parameter Optimization for Reducing Carbon Emissions Using Digital Twin

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Concentrated velocity synchronous linear chirplet transform with application to robotic drilling chatter monitoring

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A survey on knowledge transfer for manufacturing data analytics

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A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts

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A novel stability prediction method for milling operations using the holistic-interpolation scheme

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Chatter model for enabling a digital twin in machining

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A Multistage Deep Transfer Learning Method for Machinery Fault Diagnostics Across Diverse Working Conditions and Devices

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Dynamic deep learning algorithm based on incremental compensation for fault diagnosis model

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Bayesian Neural Networks with Maximum Mean Discrepancy regularization

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Towards scalable and reusable predictive models for cyber twins in manufacturing systems

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Optimal transport-based transfer learning for smart manufacturing: Tool wear prediction using out-of-domain data

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Fast Measurement With Chemical Sensors Based on Sliding Window Sampling and Mixed-Feature Extraction

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Process-oriented unstable state monitoring and strategy recommendation for burr suppression of weak rigid drilling system driven by digital twin

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Neural Tangent Kernel Maximum Mean DiscrepancyPreprint

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Digital Twins: State of the art theory and practice, challenges, and open research questions

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From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape

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Instance-Based Deep Transfer Learning

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Depth Estimation Using Convolutional Neural Network with Transfer Learning

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Automated Brain Image Classification Based on VGG-16 and Transfer Learning

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Computer Aid Screening of COVID19 using X-ray and CT Scan Images: A Comparative StudyPreprint

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COVID-19 Recognition based on Deep Transfer Learning

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