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Dr Elamparithi P

vidwan id: 590315
Male

Associate Professor, Artificial Intelligence and Data Science
Ramco Institute of Technology

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 8
Books 0
Proceedings 0

Publications

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Scopus

Citations 14
h-index 2

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Citations 2
h-index 1
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Bio

Mobile Ad Hoc Networks, Machine Learning

Personal Details

  • Male
  • Associate Professor , Ramco Institute of Technology
  • Ramco Institute of Technology Road, Vadakku Venganallur, Rajapalayam, Tamil Nadu, India
Ph.D.
Anna University 2021
Associate Professor Dec 2024 – Present
Ramco Institute of Technology | Artificial Intelligence and Data Science

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Co-Authors (5)

Ruba Soundar

Dr Ruba Soundar Kathavarayan

Mepco Schlenk Engineering College, Virudhunagar

Lalitha

Dr Lalitha S D

R.M.K Engineering College

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Dr Shenbagalakshmi G

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Scholarly Work

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Scholarly Publications

Liver Tumor Prediction using Attention-Guided Convolutional Neural Networks and Genomic Feature Analysis

Open Access
journal-article
Authors: S. Edwin Raja;J. Sutha;P. Elamparithi;K. Jaya Deepthi;S.D. Lalitha

Optimizing PID control for maximum power point tracking in photovoltaic systems under variable and partial shading conditions

Open Access
Article
Authors: Karuppasamy C.;Senthil Kumar C.;Ganesan R.;Elamparithi P.

A Machine Learning Approach for Detecting DDOS Attack in IoT Network Using Random Forest Classifier

Open Access
Article
Authors: Elamparithi P.;Kalaivani S.;Vijayalakshmi S.;Keerthika E.;Koteswari S.;Raaj R.S.
6

Fuzzy Heuristics for Detecting and Preventing Black Hole Attack

Open Access
Article
Authors: Pandian E.;Soundar R.;Gunasekaran S.;Anantharajan S.

G-Bot: Revealing Government Programs with Smarted Assistance

Open Access
INPROCEEDINGS
Authors: Ramathilagam, A. and Gunasekaran, Kavitha and Pandian, Elamparithi and Kumar, M. Satheesh and Ponkumar, D. David Neels and Saravanakumar, R.

Trusted sensing model for mobile ad hoc network using differential evolution algorithm

Open Access
Article

MRI brain tumour segmentation based on fish chaining transition optimization algorithm

Open Access
Article