Swin-fusion: An adaptive multi-source information fusion framework for enhanced tool wear monitoring
Harbin University of Science and Technology · Chinese University of Hong Kong · +1 more institution
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Abstract
No abstract available for this paper.
Citation impact
42
total citations
- FWCI
- 78.66
- Percentile
- 100%
- References
- 43
Citations per year
Authors
7- KHKailin Hou
Harbin University of Science and Technology
- RLRongyi LiCorresponding
Harbin University of Science and Technology
- XLXianli Liu
Harbin University of Science and Technology, Chinese University of Hong Kong
- CYCaixu Yue
Harbin University of Science and Technology
- YWYing Wang
North University of China
Topics & keywords
Topics
Keywords
- Fusion
- Information fusion
- Sensor fusion
- Computer science
- Engineering
- Artificial intelligence
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