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Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings

Author(s): ORCID (Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji University Shanghai China)
(Department of Civil Engineering Sharif University of Technology Tehran Iran)
ORCID (Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji University Shanghai China)
(Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji University Shanghai China)
(Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji University Shanghai China)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 6, v. 28
DOI: 10.1002/stc.2732
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.2732.
  • About this
    data sheet
  • Reference-ID
    10601173
  • Published on:
    17/04/2021
  • Last updated on:
    08/05/2021
 
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