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Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events

Author(s): ORCID (Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA)
(Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA)
(Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA)
(Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 22
Page(s): 147592172210836
DOI: 10.1177/14759217221083649
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: 10.1177/14759217221083649.
  • About this
    data sheet
  • Reference-ID
    10680453
  • Published on:
    18/06/2022
  • Last updated on:
    20/02/2023
 
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