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Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning

Author(s): (Key Laboratory of High‐speed Railway Engineering Ministry of Education Southwest Jiaotong University Chengdu China)
(Key Laboratory of High‐speed Railway Engineering Ministry of Education Southwest Jiaotong University Chengdu China)
(Key Laboratory of High‐speed Railway Engineering Ministry of Education Southwest Jiaotong University Chengdu China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 10, v. 37
Page(s): 1260-1276
DOI: 10.1111/mice.12802
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.12802.
  • About this
    data sheet
  • Reference-ID
    10646463
  • Published on:
    10/01/2022
  • Last updated on:
    13/08/2022
 
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