A Review of Research on Detection and Evaluation of the Rail Surface Defects-Reference-Cited by-同舟云学术

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A Review of Research on Detection and Evaluation of the Rail Surface Defects

Published:2022 Issue:3 Volume:19 Page:167-186
ISSN:1785-8860
Container-title:Acta Polytechnica Hungarica
language:
Short-container-title:ACTA POLYTECH HUNG

Author:

Kou Lei

Publisher

Obuda University

Subject

General Engineering

Cited by 29 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. Defect detection on multi-type rail surfaces via IoU decoupling and multi-information alignment;Advanced Engineering Informatics;2024-10

2. RSDNet: A New Multiscale Rail Surface Defect Detection Model;Sensors;2024-06-01

3. A Feasible Railyard Automation Solution for Freight Railroad operators;2024 International Conference on Smart Applications, Communications and Networking (SmartNets);2024-05-28

4. Detection of Dangerous Situations by Sounds in Real-Time Using Deep Learning;2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST);2024-05-15

5. Deep learning techniques to detect rail indications from ultrasonic data for automated rail monitoring and maintenance;Ultrasonics;2024-05

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