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

Advertisement

Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge

Author(s): ORCID (Civil Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran)
ORCID (Civil Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran)
(Civil Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 5, v. 23
Page(s): 3227-3252
DOI: 10.1177/14759217231216694
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: 10.1177/14759217231216694.
  • About this
    data sheet
  • Reference-ID
    10775579
  • 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