Litcius/Paper detail

A pencil lead break-triggered, adversarial autoencoder-based approach for rapid and robust rail damage detection

Da-Zhi Dang, Boyang Su, You‐Wu Wang, Wai Kei Ao, Yi‐Qing Ni

2025Engineering Applications of Artificial Intelligence25 citationsDOI

Topics & Concepts

Computer scienceAutoencoderLead (geology)Adversarial systemArtificial intelligencePencil (optics)Lead exposurePattern recognition (psychology)Deep learningTelecommunicationsEngineeringMechanical engineeringGeomorphologyGeologyLatency (audio)Geophysical Methods and ApplicationsInfrastructure Maintenance and MonitoringNon-Destructive Testing Techniques
A pencil lead break-triggered, adversarial autoencoder-based approach for rapid and robust rail damage detection | Litcius