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Deep learning‐based automatic classification of three‐level surface information in bridge inspection

Author(s): (College of Civil Engineering and Architecture Zhejiang University Hangzhou China)
(College of Civil Engineering and Architecture Zhejiang University Hangzhou China)
(College of Risk Management Institute National University of Singapore Singapore Singapore)
(College of Civil Engineering and Architecture Zhejiang University Hangzhou China)
(Architectural design and research institute Zhejiang University Hangzhou China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 10, v. 39
Page(s): 1431-1451
DOI: 10.1111/mice.13117
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: 10.1111/mice.13117.
  • About this
    data sheet
  • Reference-ID
    10749661
  • Published on:
    14/01/2024
  • Last updated on:
    20/09/2024
 
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