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A multi-stage method for defect detection of underwater structures based on deep learning

Author(s): (Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, China)
(Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, China)
ORCID (Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, China)
ORCID (School of Architecture and Civil Engineering, The University of Adelaide, Adelaide, SA, Australia)
(Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, China)
ORCID (Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, China)
(Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241301098
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: 10.1177/14759217241301098.
  • About this
    data sheet
  • Reference-ID
    10812081
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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