0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

A new deep transfer learning method for intelligent bridge damage diagnosis based on muti-channel sub-domain adaptation

Author(s): ORCID (Key Laboratory of Intelligent Network and Network Security, Ministry of Education, School of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China)
(Graduate School of Information, Production and Systems, Waseda University, Tokyo, Japan)
(Key Laboratory of Intelligent Network and Network Security, Ministry of Education, School of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering
Page(s): 1-16
DOI: 10.1080/15732479.2023.2167214
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: 10.1080/15732479.2023.2167214.
  • About this
    data sheet
  • Reference-ID
    10708438
  • Published on:
    21/03/2023
  • Last updated on:
    21/03/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine