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Sheng Li 0018
Person information
- affiliation (PhD 2009): Wuhan University of Technology, National Engineering Laboratory for Fiber Optic Sensing Technology, China
Other persons with the same name
- Sheng Li — disambiguation page
- Sheng Li 0001 — University of Virginia, Charlottesville, VA, USA (and 3 more)
- Sheng Li 0002 — Peking University, Department of Psychology, Beijing, China (and 2 more)
- Sheng Li 0003 — Harbin Institute of Technology, Laboratory of Machine Intelligence and Translation, China
- Sheng Li 0005 — Zhejiang University of Technology, Hangzhou, China (and 2 more)
- Sheng Li 0006 — Fudan University, School of Computer Science, Shanghai Institute of Intelligent Electronics and Systems, China (and 2 more)
- Sheng Li 0007 — Google, Mountain View, CA, USA (and 3 more)
- Sheng Li 0008 — Peking University, Department of Computer Science, Beijing, China
- Sheng Li 0009 — Xijing University, Xi'an, China (and 1 more)
- Sheng Li 0010 — National Institute of Information and Communications Technology (NICT), Universal Communication Research Institute (UCRI), Kyoto, Japan (and 5 more)
- Sheng Li 0011 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more)
- Sheng Li 0012 — Nanjing Institute of Technology, School of Electric Power Engineering, China
- Sheng Li 0013 — Central University of Finance and Economics, Beijing, China
- Sheng Li 0014 — Karlsruhe Institute of Technology, Germany
- Sheng Li 0015 — University of Texas Health Science Center at Houston, TX, USA
- Sheng Li 0016 — Nanjing University of Science and Technology, Nanjing, Jiangsu, China
- Sheng Li 0017 — Alibaba Inc., Hangzhou, China (and 1 more)
- Sheng Li 0019 — University of Pittsburgh, PA, USA (and 1 more)
- Sheng Li 0020 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
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Journal Articles
- 2024
- [j7]Fang Liu, Yu Xie, Lina Yue, Xiaorui Li, Qiuming Nan, Sheng Li:
Long-Distance and Real-Time Vehicle Detection on Highway Using RCF Network and PPHT Based on Ultraweak FBG Array. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - 2022
- [j6]Sheng Li, Liang Jin, Jinpeng Jiang, Honghai Wang, Qiuming Nan, Lizhi Sun:
Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network. Sensors 22(15): 5653 (2022) - [j5]Sheng Li, Yang Qiu, Jinpeng Jiang, Honghai Wang, Qiuming Nan, Lizhi Sun:
Identification of Abnormal Vibration Signal of Subway Track Bed Based on Ultra-Weak FBG Sensing Array Combined with Unsupervised Learning Network. Symmetry 14(6): 1100 (2022) - 2020
- [j4]Sheng Li, Xiang Zuo, Zhengying Li, Honghai Wang:
Applying Deep Learning to Continuous Bridge Deflection Detected by Fiber Optic Gyroscope for Damage Detection. Sensors 20(3): 911 (2020) - [j3]Sheng Li, Xiang Zuo, Zhengying Li, Honghai Wang, Lizhi Sun:
Combining SDAE Network with Improved DTW Algorithm for Similarity Measure of Ultra-Weak FBG Vibration Responses in Underground Structures. Sensors 20(8): 2179 (2020) - 2019
- [j2]Weibing Gan, Sheng Li, Zhengying Li, Lizhi Sun:
Identification of Ground Intrusion in Underground Structures Based on Distributed Structural Vibration Detected by Ultra-Weak FBG Sensing Technology. Sensors 19(9): 2160 (2019) - [j1]Qiuming Nan, Sheng Li, Yiqiang Yao, Zhengying Li, Honghai Wang, Lixing Wang, Lizhi Sun:
A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array. Sensors 19(12): 2666 (2019)
Coauthor Index
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