Articles
  • Performance of deep learning approaches for detection and classification of ceramic tile defects

  • D. Sivabalaselvamania,*, K. Nanthinib, S. Vanithamanic and L. Nivethad

  • aAssociate Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India
    bAssistant Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India
    cAssociate Professor, Department of Computer Applications, M.Kumarasamy College of Engineering, Karur, Tamilnadu, India
    dAssistant Professor, Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamilnadu, India

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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This Article

  • 2023; 24(1): 78-88

    Published on Feb 28, 2023

  • 10.36410/jcpr.2023.24.1.78
  • Received on Jun 29, 2022
  • Revised on Sep 30, 2022
  • Accepted on Oct 26, 2022

Correspondence to

  • D. Sivabalaselvamani

  • Associate Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India
    Tel : +919940049001

  • E-mail: sivabalaselvamani@gmail.com