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

Advertisement

Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection

Author(s): (Department of Civil and Environmental Engineering Southern Methodist University Dallas Texas USA)
(Department of Civil and Environmental Engineering Southern Methodist University Dallas Texas USA)
(Department of Civil and Environmental Engineering Southern Methodist University Dallas Texas USA)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 15, v. 39
Page(s): 2299-2311
DOI: 10.1111/mice.13195
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.13195.
  • About this
    data sheet
  • Reference-ID
    10770173
  • Published on:
    29/04/2024
  • Last updated on:
    20/09/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine