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Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks

Author(s): ORCID (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China)
(School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China)
(School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 20
Page(s): 147592172098866
DOI: 10.1177/1475921720988666

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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: 10.1177/1475921720988666.
  • About this
    data sheet
  • Reference-ID
    10579043
  • Published on:
    02/03/2021
  • Last updated on:
    29/06/2021
 
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