Academic Identity

Vidwan-ID : 272883

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  • Dr Sudha Muthusamy R

  • Assistant Professor
  • Coimbatore Institute of Technology
Publications 2018 - 2022

Publications

  • 9
    Journal Articles
  • 2
    Projects

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Expertise

Computer Science Artificial Intelligence

Computer science is the study of computation, algorithms, data structures, and the design of computer systems. It encompasses a wide range of topics, including software development, hardware design, networking, databases, and more. One of the most prominent and rapidly evolving fields within computer science is artificial intelligence (AI). Artificial Intelligence (AI) refers to the development of computer systems or software that can perform tasks that normally require human intelligence. Thes

Personal Information

Dr Sudha Muthusamy R

Female
Department of Computing - Artificial Intelligence and Machine Learning Coimbatore Institute of Technology
Coimbatore, Tamil Nadu, India - 641014

Experience

  • Assistant Professor

    Artificial Intelligence and Machine Learning

    Coimbatore Institute of Technology

  • Assistant Professor

    COMPUTER SCIENCE

    CMS College of Science and Commerce

  • Assistant Professor

    COMPUTER APPLICATIONS

    KG College of Arts and Science

Qualification

  • Ph.D

    CMS College of Science and Commerce, Coimbatore

  • MBA

    Bharathiar University

  • M.Phil.

    KG College of Arts and Science

  • MCA

    Pioneer College of Arts and Science, Coimbatore

  • BCA

    Pioneer College of Arts and Science, Coimbatore

Research Projects

Development of Machine Learning Algorithm for Prediction of Yarn Quality in the Textile Industries using Image Processing and Neural Network.

Funding Agency : NIL

Gaussian Makov Random Field (GMRF) Method Characterize the Statistical Relationship between a Pixel and Its Neighbor’s In Image Reconstruction.

Funding Agency : NIL

Development of Machine Learning Algorithm for Prediction of Yarn Quality in the Textile Industries using Image Processing and Neural Network.

Funding Agency : NIL

Gaussian Makov Random Field (GMRF) Method Characterize the Statistical Relationship between a Pixel and Its Neighbor’s In Image Reconstruction.

Funding Agency : NIL

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Publications (9)

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