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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Main Authors: | , , , , |
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Format: | Article |
Published: |
PERGAMON-ELSEVIER SCIENCE LTD
2024
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Subjects: | |
Online Access: | http://eprints.um.edu.my/44227/ https://doi.org/10.1016/j.eswa.2023.122906 |
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Institution: | Universiti Malaya |