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Study on deterioration identification method of rubber bearings for bridges based on YOLOv4 deep learning algorithm

Author(s): (Research Institute of Highway Ministry of Transport, Beijing, China)
(Research Institute of Highway Ministry of Transport, Beijing, China)
(College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China)
(Research Institute of Highway Ministry of Transport, Beijing, China)
(College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China)
Medium: journal article
Language(s): English
Published in: Bridge Structures, , n. 4, v. 19
Page(s): 1-14
DOI: 10.3233/brs-230209
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: 10.3233/brs-230209.
  • About this
    data sheet
  • Reference-ID
    10734790
  • Published on:
    03/09/2023
  • Last updated on:
    14/01/2024
 
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