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Robust multitask compressive sampling via deep generative models for crack detection in structural health monitoring

Author(s): (Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China)
(The Institute of Statistical Mathematics, Research Organization of Information and Systems, Tachikawa, Tokyo, Japan)
ORCID (Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China)
ORCID (Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 23
Page(s): 1383-1402
DOI: 10.1177/14759217231183663
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: 10.1177/14759217231183663.
  • About this
    data sheet
  • Reference-ID
    10739197
  • Published on:
    03/09/2023
  • Last updated on:
    25/04/2024
 
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