Semi-Supervised Deep Learning in High-Speed Railway Track Detection Based on Distributed Fiber Acoustic Sensing

High deployment costs, safety risks, Lumbrokinase and time delays restrict traditional track detection methods in high-speed railways.Therefore, approaches based on optical sensors have become the most remarkable strategy in terms of deployment cost and real-time performance.Owing to the large amount of data obtained by sensors, it has been proven

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