A tutorial on deep learning-based data analytics in manufacturing through a welding case study
Qiyue Wang(Guangxi University), Yuming Zhang(University of Kentucky), Wenhua Jiao(University of Kentucky), Peng Wang(University of Kentucky)
Cited by 111
Related Papers
Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis
|IEEE/CAA Journal of Automatica Sinica|2020|166
Exploration of nanozymes in viral diagnosis and therapy
|Exploration|2022|166
Artificially Engineered Cubic Iron Oxide Nanoparticle as a High-Performance Magnetic Particle Imaging Tracer for Stem Cell Tracking
|ACS Nano|2020|164
End-to-end prediction of weld penetration: A deep learning and transfer learning based method
|Journal of Manufacturing Processes|2020|147
Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control
|Journal of Manufacturing Systems|2020|133