Yanxin Cui
Papers
1
Total Citations
22
H-Index
1
About
Yanxin Cui is a researcher specializing in intelligent manufacturing and real-time welding process monitoring, with a focus on keyhole gas tungsten arc welding (K-TIG). Their major contribution lies in developing a segmentation-LSTM deep learning model that enables accurate, real-time penetration prediction in K-TIG welding directly on embedded systems—a breakthrough for industrial automation and quality control. This work, published in 2023 and already garnering 22 citations, demonstrates the practical integration of machine learning with resource-constrained hardware, bridging the gap between advanced AI and on-site manufacturing. The model’s ability to process sequential welding data in real time addresses a critical challenge in automated welding, offering significant improvements in efficiency and defect prevention. Yanxin Cui’s research not only advances the field of welding process monitoring but also provides a scalable framework for deploying deep learning in other real-time industrial applications. Their work is particularly notable for its emphasis on embedded system deployment, making high-performance AI accessible for cost-sensitive and space-limited manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1