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On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method

Author(s): ORCID (Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy)
ORCID (Head of Research and Development, IPESFP Company, Mashhad, Iran)
(Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy)
(Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering, , n. 12, v. 20
Page(s): 1-19
DOI: 10.1080/15732479.2023.2166538
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: 10.1080/15732479.2023.2166538.
  • About this
    data sheet
  • Reference-ID
    10708431
  • Published on:
    21/03/2023
  • Last updated on:
    10/11/2024
 
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