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Effect of data drift on the performance of machine‐learning models: Seismic damage prediction for aging bridges

Author(s): (Department of Civil and Environmental Engineering Hanyang University Seoul South Korea)
(Department of Civil and Environmental Engineering Hanyang University Seoul South Korea)
ORCID (Mangalathu, Mylamkulam, Puthoor Kollam Kerala India)
ORCID (Department of Civil and Environmental Engineering Hanyang University Seoul South Korea)
Medium: journal article
Language(s): English
Published in: Earthquake Engineering and Structural Dynamics, , n. 15, v. 53
Page(s): 4541-4561
DOI: 10.1002/eqe.4230
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: 10.1002/eqe.4230.
  • About this
    data sheet
  • Reference-ID
    10799120
  • Published on:
    23/09/2024
  • Last updated on:
    10/11/2024
 
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