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A general framework for supervised structural health monitoring and sensor output validation mitigating data imbalance with generative adversarial networks-generated high-dimensional features

Author(s): (Department of Civil and Environmental Engineering, Virginia Tech University, Blacksburg, VA, USA)
(Department of Computer Science, University of Vienna, Vienna, Austria)
ORCID (Department of Civil and Environmental Engineering, Virginia Tech University, Blacksburg, VA, USA)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 21
Page(s): 147592172110254
DOI: 10.1177/14759217211025488
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: 10.1177/14759217211025488.
  • About this
    data sheet
  • Reference-ID
    10627261
  • Published on:
    05/09/2021
  • Last updated on:
    09/05/2022
 
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