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Deep convolutional neural networks for semantic segmentation of cracks

Author(s): ORCID (Department of Civil Engineering Tsinghua University Beijing 100084 China)
(Department of Civil Engineering Tsinghua University Beijing 100084 China)
ORCID (Department of Civil Engineering Tsinghua University Beijing 100084 China)
ORCID (Department of Civil and Environmental Engineering University of Houston Houston Texas 77204 USA)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 1, v. 29
DOI: 10.1002/stc.2850
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: 10.1002/stc.2850.
  • About this
    data sheet
  • Reference-ID
    10636919
  • Published on:
    30/11/2021
  • Last updated on:
    03/12/2021
 
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