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Unsupervised dam anomaly detection with spatial–temporal variational autoencoder

Author(s): (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China)
ORCID (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China)
(State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China)
(College of Environment Engineering, Hohai University, Nanjing, China)
ORCID (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China)
(State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 22
Page(s): 147592172110733
DOI: 10.1177/14759217211073301
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217211073301.
  • About this
    data sheet
  • Reference-ID
    10665299
  • Published on:
    09/05/2022
  • Last updated on:
    20/02/2023
 
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