Real time railway track crack analysis using multi-level classification-Reference-Cited by-同舟云学术

Real time railway track crack analysis using multi-level classification

Published:2022-10-10 Issue:4 Volume:88 Page:752-764
ISSN:0370-0046
Container-title:Proceedings of the Indian National Science Academy
language:en
Short-container-title:Proc.Indian Natl. Sci. Acad.

Author:

S Anand Hareendran,S S Vinod Chandra^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s43538-022-00127-9.pdf

Reference29 articles.

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4. Chaiyasarn, K., Khan, W., Ali, L., Sharma, M., Brackenbury, D., DeJong, M.: Crack detection in masonry structures using convolutional neural networks and support vector machines. In: Teizer, J. (ed.) Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC), pp. 118–125, Taipei, Taiwan, July 2018. International Association for Automation and Robotics in Construction (IAARC). ISBN 978-3-00-060855-1. https://doi.org/10.22260/ISARC2018/0016

5. Chenariyan Nakhaee, M., Hiemstra, D., Stoelinga, M., Noort, M.V.: The Recent Applications of Machine Learning in Rail Track Maintenance: A Survey, pp. 91–105 (2019). ISBN 978-3-030-18743-9. https://doi.org/10.1007/978-3-030-18744-6_6