SEMI-SUPERVISED DEEP LEARNING IN HIGH-SPEED RAILWAY TRACK DETECTION BASED ON DISTRIBUTED FIBER ACOUSTIC SENSING

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

High deployment costs, safety risks, 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 Plugs and real-time performance.Owing to the large amount of data obtained by sensors, it has been proven that de

read more

Recent developments and discoveries in natural hazards mitigation research at the NHERI Lehigh Experimental Facility

Pads Natural hazards, including hurricanes and earthquakes, can escalate into catastrophic societal events due to the destruction of the built environment.To minimize the impact of such hazards on vulnerable communities, civil infrastructure must be designed with performance criteria that prioritize public safety and ensure continuous operation.The

read more