Anomaly detection in railway sensor data environments: state-of-the-art methods and empirical performance evaluation - Ba łdyga M, Barański K, Belter J, Kalinowski M, Weichbroth P.

To date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news