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Deep residual network training for reinforced concrete defects intelligent classifier

Author(s): ORCID (College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China)
(College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China)
(College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China)
(College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China)
Medium: journal article
Language(s): English
Published in: European Journal of Environmental and Civil Engineering, , n. 15, v. 26
Page(s): 1-13
DOI: 10.1080/19648189.2021.2003250
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: 10.1080/19648189.2021.2003250.
  • About this
    data sheet
  • Reference-ID
    10637485
  • Published on:
    30/11/2021
  • Last updated on:
    20/02/2023
 
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