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A review of bridge health monitoring based on machine learning

Author(s): (School of Engineering and the Built Environment, Birmingham City University, Birmingham, UK)
(School of Engineering and the Built Environment, Birmingham City University, Birmingham, UK)
(School of Engineering and the Built Environment, Birmingham City University, Birmingham, UK)
(School of Engineering and the Built Environment, Birmingham City University, Birmingham, UK)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Bridge Engineering
Page(s): 1-34
DOI: 10.1680/jbren.22.00030
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: 10.1680/jbren.22.00030.
  • About this
    data sheet
  • Reference-ID
    10696576
  • Published on:
    11/12/2022
  • Last updated on:
    11/12/2022
 
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