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An Unsupervised Anomaly Detection Framework for Onboard Monitoring of Railway Track Geometrical Defects Using One-Class Support Vector Machine

Ramin Ghiasi,Muhammad Arslan Khan,Danilo Sorrentino, Cassandre Diaine,Abdollah Malekjafarian

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE（2024）

Cited 2|Views13
Key words
Anomaly detection,Data driven,Track geometry,Feature extraction,Onboard monitoring,One-class support vector machine
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