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Dr R.Pugalenthi ,Professor, Saveetha Engineeri

vidwan id: 195992
Male

Professor,
Saveetha Engineering College (Autonomous)

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 32
Books 0
Proceedings 0

Publications

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Scopus

Citations 86
h-index 3

CrossRef

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Citations 25
h-index 3
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Professional Recognition

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Community & Membership

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Bio

Dr.R.Pugalenthi received the B.E. Degree from Bharathidasan University, Trichy, India in 1999, and the M.E Degree from Sathyabama University, Chennai, India in 2002, and the Ph.D Degree in Data Communication and Networking from Anna University, Chennai, India in 2015. He is currently working as Professor in the Department of Department of Computer Science and Engineering at Saveetha Engineering College, Chennai-602105. His research interests include Image Processing, Medical Imaging an

Personal Details

  • Male
  • Professor , Saveetha Engineering College (Autonomous)
  • Saveetha Engineering College
Ph.D
Other Institute 2015
M.E
Other Institute 2002
B.E.
Bharathidasan University 1999
Professor Jan 2025 – Present
Saveetha Engineering College (Autonomous)
Professor Jun 2002 – Jan 2025
St Joseph`s College, Tiruchirappalli

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Co-Authors (12)

Anuradha

Dr Anuradha M

S A Engineering College

Nandakumar

Prof Nandakumar R

K S R College of Engineering

Gopal

Prof Gopal Tadepalli

Anna University

Jesline

Dr Jesline Daniel

S R M Institute of Science & Technology, Chennai

P Meenalochini

Dr P Meenalochini Karthick

Sethu Institute of Technology

Nilanjan

Dr Nilanjan Dey

Techno India College of Technology 187

Prabhu

Dr Prabhu Chakkaravarthy A

S R M Institute of Science & Technology, Chennai

Chinnem

Dr Chinnem Rama Mohan

Narayana Engineering College

Sakthi

Dr Sakthi U

S R M Institute of Science & Technology, Chennai

Saravanan

Dr Saravanan T R

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Sheryl Oliver

Dr Sheryl Oliver A

S R M Institute of Science & Technology, Chennai

Suresh

Dr Suresh K

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Scholarly Work

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Automated detection of Lung Abnormality using Physiological Signals

R.Pugalenthi
- Application No. : 202041048948 Filed : 10-11-2020
Published : N/A Filed

FINGER VEIN AUTHENTICATION APPARATUS AND A METHOD THEREOF

R.Pugalenthi
- Application No. : 201941016937 Filed : 29-04-2019
Published : N/A Filed

REMOTE CHILD MONITORING SYSTEM

R.Pugalenthi
Engineering and Technology Patent No. : 24 / 2019 Filed : 10-04-2019
Published : 14-06-2020 Filed

MELANOMA DETECTION AND A METHOD FOR TEACHING-LEARNING MECHANISM

R.Pugalenthi
Engineering and Technology Patent No. : 48 / 2018 Filed : 12-10-2018
Published : 30-11-2018 Filed

Scholarly Publications

Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals

Open Access
journal-article
Authors: R. Nandakumar;Rajesh Arunachalam;R Pugalenthi;Karthikayen Arunachalam

An improved cyber-attack detection and classification model for the internet of things systems using fine-tuned deep learning model

Open Access
Article

An Implementation of Adaptive Multi‐<scp>CNN</scp> Feature Fusion Model With Attention Mechanism With Improved Heuristic Algorithm for Kidney Stone Detection

Open Access
journal-article
Authors: Gunasekaran Kulandaivelu;M Suchitra;R Pugalenthi;Ruchika Lalit

An efficient model of enhanced optimization and dilated-GRU based secured multi-access edge computing with blockchain for VANET sector

Open Access
journal-article
Authors: Lavanya Kalidoss;Swapna Thouti;Rajesh Arunachlam;Pugalenthi Ramamurthy

Energy management of grid connected PV with efficient inverter based wireless electric vehicle battery charger: A hybrid CSA-QNN technique

Open Access
journal-article
Authors: P. Meenalochini;Priya R.A.;R. Pugalenthi;Jagadeeshwaran A.

Water Quality Index Prediction and Classification using Hyperparameter Tuned Deep Learning Approach

Open Access
journal-article

A Blockchain-Based Cloud File Storage System Using Fuzzy-Based Hybrid-Flash Butterfly Optimization Approach for Storage Weight Reduction

Open Access
journal-article

A Novel Approach for Lung Cancer Segmentation and Classification Using MSF-Customized ResNet152

Open Access
journal-article