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Dr Thailambal Rajagopalan

vidwan id: 232467
Female

Professor, Computer Science
Vels Institute of Science, Technology and Advanced Studies, Chennai

Expertise

  • Computer Science Information Systems

Publications

Total Articles 61
Books 0
Proceedings 0

Publications

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Scopus

Citations 162
h-index 5

CrossRef

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Citations 12
h-index 2
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Professional Recognition

2020

Best Faculty Award

Lions Club of Chennai, Ayush
2021

Best Faculty Award

Mana Muna Foundation and Chennai Softech
2022

Best Research Supervisor

Chennai Softech

Community & Membership

2021

Computer Society of India

Life time Member
2021

IFERP

Life time Member

Computer Society of India

2020
Life Time Membership

Bio

Data Mining, Programming languages C,C++, Java, Python, Perl, PHP, Operating Systems, Web Technology

Personal Details

  • Female
  • Professor , Vels Institute of Science, Technology and Advanced Studies, Chennai
  • Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai
Ph.D
Other Institute 2018
M.PHIL
Other Institute 2008
M.C.A
Bharathidasan University 2003
Professor Jul 2006 – Present
Vels Institute of Science, Technology and Advanced Studies, Chennai | Computer Science

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Organisations (338+)

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Associate Professor

Co-Authors (7)

A Akila

Dr A Akila Ganesh

Vels Institute of Science, Technology and Advanced Studies, Chennai

R

Dr R Durga

Vels Institute of Science, Technology and Advanced Studies, Chennai

Nandhini

Nandhini K

SRM ARTS AND SCIENCE COLLEGE

Saradha

Dr Saradha S

S R M Institute of Science & Technology, Chennai

Kalaiselvi

Dr Kalaiselvi S

National Engineering College, Thoothukkudi

sudharsan

Mr sudharsan M

Dayananda Sagar University, Bangalore

Yogeshwari

Dr Yogeshwari M

Vels Institute of Science, Technology and Advanced Studies, Chennai

Scholarly Work

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A NOVEL METHOD OF

University Vels Institute of Science
Year 2022

DISCOVERY OF MOLECULAR SUB STRUCTURAL PATTERN FOR THE PREDICTION OF DRUG INTERACTION USING DEEP LEARNING AND OPTIMIZATION TECHNIQUES

University VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES
Year 2024

A DYNAMIC LIGHTWEIGHT RECOMMENDATION SYSTEM FOR SOCIAL NETWORKING ANALYSIS USING A NOVEL CLASSIFIER ALGORITHM

University VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES
Year 2024

A CONTEMPORARY METHOD ON MULTI MODEL DEEP LEARNING TECHNIQUE FOR IMAGE ANALYSIS ON DIABETIC RETINOPATHY

University VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES
Year 2023

AN ENHANCED HYBRID VERSION OF EARLY PREDICTION AND MULTI CLASSIFICATION OF ALZHEIMER'S DISEASE USING MRI

University VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES
Year 2023

A COMBINED EFFECTIVE MODEL OF PREDICTION ON MONSOON RAINFALL IN TAMILNADU REGION USING ADABPNN AND ADANAIVE CLASSIFICATION ALGORITHMS

University VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES
Year 2023

A Modified Learning Scheme for Detecting Alzheimer's Disease Using Brain MRI Images

Dr.G. Thailambal
M. Sudharsan
Chemical Sciences Patent No. : 16/2022 Filed : 11-04-2022
Published : N/A Published

Deep Learning Algorithm for Wi-Fi-Based Identity Recognition

Dr.G. Thailambal
- Application No. : TEMP/E-1/10687/2022- CHE Filed : 22-02-2022
Published : N/A Filed

: ANALYSIS OF STRESS LEVEL OF FINAL YEAR COMPUTER SCIENCE STUDENTS OF INDIAN EDUCATIONAL INSTITUTIONS DURING COVID-19 LOCK DOWN PERIOD

Vels Institute of Science
Technology and Advanced Studies
Engineering and Technology Application No. : 202041043167 A Filed : 05-10-2020
Published : 16-10-2020 Published

Scholarly Publications

Categorisation and Prognosticationof Diabetic Retinopathy using Ensemble Learning and CNN

Open Access
Conference Paper

A Hybrid Learning Approach for Early-Stage Prediction and Classification of Alzheimer's Disease Using Multi-Features

Open Access
Conference Paper

Light weight recommendation system for social networking analysis using a hybrid BERT-SVM classifier algorithm

Open Access
Article

A contemporary method on feature selection and classification using multi-model deep learning technique for identifying diabetic retinopathy

Open Access
Article

A contemporary method on feature selection and classification using multi-model deep learning technique for identifying diabetic retinopathy

Open Access
book
Authors:

A Study on Various Classifications and Prediction Techniques for Diabetic Retinopathy

Open Access
conference-paper
Authors:

Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA)

Open Access
journal-article
Authors:

PROPOSED ENHANCED SPATIAL REUSABILITY TECHNIQUE USING ROUTING ALGORITHM FOR MESSAGE AUTHENTICATION

Open Access
article
Authors: Thailambal, G and Jothi, TK