Articles
  • Study on engineering strength properties of ceramic waste powder stabilized expansive soil using machine learning algorithms

  • D. Sivabalaselvamania,*, P. Kulanthaivelb, J. Yogapriyac and Inderjit Singh Dhanoad

  • aAssociate Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India
    bAssistant Professor, Department of Civil Engineering, Kongu Engineering College, Perundurai, Tamilnadu, India
    cProfessor, Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamilnadu, India
    dAssistant Professor, Department of Computer Science and Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab, 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

  • 2022; 23(6): 902-911

    Published on Dec 31, 2022

  • 10.36410/jcpr.2022.23.6.902
  • Received on Jun 29, 2022
  • Revised on Sep 27, 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