A novel autoencoder for structural anomalies detection in river tunnel operation

Anomaly diagnosis is essential to prevent disasters and ensure long-term stable operation of tunnels. However, the diversity and scarcity of abnormal data make it difficult to identify outliers, especially to diagnose structural anomalies from poor-quality data. Therefore, an adaptive loss function...

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Bibliographic Details
Main Authors: Tan, Xu-Yan, Palaiahnakote, Shivakumara, Chen, Weizhong, Cheng, Ke, Du, Bowen
Format: Article
Published: PERGAMON-ELSEVIER SCIENCE LTD 2024
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Online Access:http://eprints.um.edu.my/44227/
https://doi.org/10.1016/j.eswa.2023.122906
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Institution: Universiti Malaya