A reusable AI-enabled defect detection system for railway using ensembled CNN
Author:
Funder
National Research Council Canada
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05676-8.pdf
Reference36 articles.
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3. Rahman MA, Taheri H, Dababneh F, Karganroudi SS, Arhamnamazi S (2024) A review of distributed acoustic sensing applications for railroad condition monitoring. Mech Syst Signal Process 208:110983
4. Guo F, Liu J, Qian Y, Xie Q (2024) Rail surface defect detection using a transformer-based network. J Indust Inform Integr 38:100584
5. Ghaboura S, Ferdousi R, Laamarti F, Yang C, El Saddik A (2023) Digital twin for railway: a comprehensive survey. IEEE Access 11:120237–120257
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