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Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment

Author(s): (Department of Civil Engineering McGill University Montreal Quebec Canada)
(Department of Civil Engineering McGill University Montreal Quebec Canada)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 2, v. 39
Page(s): 165-185
DOI: 10.1111/mice.13061
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: 10.1111/mice.13061.
  • About this
    data sheet
  • Reference-ID
    10731282
  • Published on:
    04/08/2023
  • Last updated on:
    14/01/2024
 
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