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Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm

Author(s): ORCID (Centre for Infrastructure Engineering, Western Sydney University, Penrith, NSW, Australia)
(Centre for Infrastructure Engineering, Western Sydney University, Penrith, NSW, Australia)
(Centre for Infrastructure Engineering, Western Sydney University, Penrith, NSW, Australia)
(Centre for Infrastructure Engineering, Western Sydney University, Penrith, NSW, Australia)
(School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, Australia)
(Research Institute for Frontier Science, Beihang University, Beijing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 5, v. 21
Page(s): 147592172110535
DOI: 10.1177/14759217211053546
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: 10.1177/14759217211053546.
  • About this
    data sheet
  • Reference-ID
    10658609
  • Published on:
    17/02/2022
  • Last updated on:
    23/09/2022
 
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