Unsupervised detection of rail surface defects and rail-head anomalies using Auto-encoder

Author:

Iftikhar Anas Bin1,Shaikh Muhammad Zakir1,Mehran Sanaullah1,Hussain Tanweer1,Kalwar Imtiaz Hussain2,Chowdhry Bhawani Shankar1

Affiliation:

1. NCRA-CMS Lab,MUET,Jamshoro,Pakistan

2. DHA Suffa University,Karachi,Pakistan

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Steel Rail Surface Defect Detection and Recognition Method Based on Mask R-Transformer;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

2. Multiclass Classification of Rail Track Defects Using Deep Learning Techniques;2023 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2023-07-07

3. Railway Track Joints and Fasteners Fault Detection using Principal Component Analysis;2023 International Conference on Robotics and Automation in Industry (ICRAI);2023-03-03

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