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Damage identification using convolutional neural networks from instantaneous displacement measurements via image processing

Author(s): (Faculty of Engineering, Federal University of Juiz de Fora, Juiz de Fora, Brazil)
ORCID (Graduate Program in Civil Engineering, Federal University of Juiz de Fora, Juiz de Fora, Brazil)
(Graduate Program in Civil Engineering, Federal University of Juiz de Fora, Juiz de Fora, Brazil)
ORCID (Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina)
(Graduate Program in Civil Engineering, Federal University of Juiz de Fora, Juiz de Fora, Brazil)
(Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 23
Page(s): 1627-1640
DOI: 10.1177/14759217231193102
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: 10.1177/14759217231193102.
  • About this
    data sheet
  • Reference-ID
    10739191
  • Published on:
    03/09/2023
  • Last updated on:
    25/04/2024
 
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