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Multicase structural damage classification based on semisupervised generative adversarial network

Author(s): (School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, China)
(School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, China)
ORCID (Department of Civil and Earth Resources Engineering, Kyoto University, Kyoto, Japan)
ORCID (Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology, School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241258785
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: 10.1177/14759217241258785.
  • About this
    data sheet
  • Reference-ID
    10797479
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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