Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study

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Eunus, S. I. (2023) · doi:10.31219/osf.io/6qew3

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bagheri, A., Mojaradi, B., & Aali, M. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4610722

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A Simple Yet Effective Data Augmentation for Self-Supervised Multi-stage Centrifugal Pump (MCP) Anomaly Detection

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Qiu, Y., & Lv, Z. (2019) · Science Discovery · doi:10.11648/j.sd.20190706.19

Rail fastener defect inspection method for multi railways based on machine vision

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Liu, H., Cao, Z., & Yang, M. (2025) · International Conference on Electromechanical Control Technology and Transportation (ICECTT) · doi:10.1117/12.3078595

A Deep Learning-Based Hybrid Approach to Detect Fastener Defects in Real-Time

Aydın, İ., Sevi, M., Akın, E., Güçlü, E., Karaköse, M., & Aldarwich, H. (2023) · Tehnicki vjesnik - Technical Gazette · doi:10.17559/tv-20221020152721 · Cited by 4