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A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations

Author(s): ORCID
ORCID



Medium: journal article
Language(s): English
Published in: Engineering Structures, , v. 276
Page(s): 115311
DOI: 10.1016/j.engstruct.2022.115311
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: 10.1016/j.engstruct.2022.115311.
  • About this
    data sheet
  • Reference-ID
    10695516
  • Published on:
    10/12/2022
  • Last updated on:
    10/12/2022
 
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