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Bayesian‐optimized unsupervised learning approach for structural damage detection

Author(s): (Department of Civil, Structural and Environmental Engineering University at Buffalo—the State University of New York, Buffalo NY USA)
(Department of Civil, Structural and Environmental Engineering University at Buffalo—the State University of New York, Buffalo NY USA)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 10, v. 36
Page(s): 1249-1269
DOI: 10.1111/mice.12680
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.12680.
  • About this
    data sheet
  • Reference-ID
    10607230
  • Published on:
    15/05/2021
  • Last updated on:
    01/10/2021
 
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