Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Image classification-based defect detection of railway tracks using fiber Bragg grating ultrasonic sensors

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read More Add to Saved list
  • Additional Information
    • Contributors:
      Department of Civil and Environmental Engineering
    • Publication Information:
      MDPI
    • Publication Date:
      2023
    • Collection:
      Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR)
    • Abstract:
      202307 bcch ; Version of Record ; RGC ; Others ; National Rail Transit Electrification and Automation Engineering Technology Research Center; Innovation and Technology Commission; Science, Technology and Innovation Commission of Shenzhen Municipality ; Published ; CC
    • Relation:
      http://hdl.handle.net/10397/99931; 13; 384; OA_Scopus/WOS
    • Accession Number:
      10.3390/app13010384
    • Online Access:
      http://hdl.handle.net/10397/99931
      https://doi.org/10.3390/app13010384
    • Rights:
      © 2022 by the authors. Licensee MDPI, Basel, Switzerland. ; This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). ; The following publication Dang D-Z, Lai C-C, Ni Y-Q, Zhao Q, Su B, Zhou Q-F. Image Classification-Based Defect Detection of Railway Tracks Using Fiber Bragg Grating Ultrasonic Sensors. Applied Sciences. 2023; 13(1):384 https://doi.org/10.3390/app13010384.
    • Accession Number:
      edsbas.5ABB7F7B