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Jinsong Bao
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Industrial Intelligence: Methods and Applications
Empowering digital twins with large language models for global temporal feature learning
A blockchain-based interactive approach between digital twin-based manufacturing systems
A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units
Automatic Extraction and Representation of Procedural Knowledge from Manuals
Prognostics and health management via long short-term digital twins
Semantic-aware event link reasoning over industrial knowledge graph embedding time series data
3DSMDA-Net: An improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition
A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration
Digital-twin Collaborative Technology for Human-robot-environment Integration; [面向人-机-环境共融的数字孪生协同技术]
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach
Outlook on human-centric manufacturing towards Industry 5.0
Semantic artificial intelligence for smart manufacturing automation
A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19
A Knowledge-Driven Digital Twin Modeling Method for Machining Products Based on Biomimicry; [知识驱动的加工产品数字孪生拟态建模方法]
An adaptive evolutionary framework for the decision-making models of digital twin machining system*
An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents
Digital twin modeling method based on biomimicry for machining aerospace components
Machining process-oriented monitoring method based on digital twin via augmented reality
Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model
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