Your Location：
Home >
Browse articles >
Detection and Quantitative Analysis of Rail Surface Damage Based on Deep Learning
Detection and Quantitative Analysis of Rail Surface Damage Based on Deep Learning
- Railway Standard Design Vol. 69, Issue 8, Pages: 39-46(2025)
DOI： 10.13238/j.issn.1004-2954.202312070001
Revised：2024-01-02
Scan QR Code
Full Text(HTML)
Figs( 6 ) Tabs( 2 )
References
Publication Info
Metrics
42
Views
20
Downloads
0
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
Online Monitoring Method for Temperature Field of Subway Screen Doors Based on Digital Twin
Intelligent Recognition Technology for Rock Core Discontinuities Based on YOLOv8 Neural Network
Research on Intelligent Decision-Making Method for High-Speed Railway Tunnel Body Construction Based on Deep Learning
Research on Anomaly Detection of Intercity High-speed Railway Platform Based on Deep Learning
Intelligent Decision-Making Method for Tunnel Portal Location Based on Deep Learning
Related Author
ZHANG Xiao
HAO Dengyun
ZHU Xiao
XIONG Feng
ZHANG Guohua
WANG Yafei
ZHANG Zhanrong
LI Shiliang
Related Institution
The 713 Research Institute of CSSC
CSSC Haiwei High-tech Co.,Ltd.
Faculty of Engineering，China University of Geosciences（Wuhan）
China Railway Siyuan Survey and Design Group Co.，Ltd.
中国地质大学（武汉）地理与信息工程学院，武汉 430078School of Geography and Information Engineering, China University of Geosciences （Wuhan）, Wuhan 430078, China
