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Automatic steel girder inspection system for high‐speed railway bridge using hybrid learning framework

Author(s): (Faculty of Transportation Engineering Kunming University of Science and Technology Kunming China)
(Faculty of Transportation Engineering Kunming University of Science and Technology Kunming China)
(State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing China)
(Faculty of Transportation Engineering Kunming University of Science and Technology Kunming China)
(Faculty of Transportation Engineering Kunming University of Science and Technology Kunming China)
(Faculty of Transportation Engineering Kunming University of Science and Technology Kunming China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13409
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.13409.
  • About this
    data sheet
  • Reference-ID
    10808378
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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