Dr. M. Premalatha

Dr. M. Premalatha

VIT University

H-index: 7

Asia-India

About Dr. M. Premalatha

Dr. M. Premalatha, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at VIT University, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A comparative evaluation of nature-inspired algorithms for feature selection problems

Nucleus segmentation and classification using residual SE-UNet and feature concatenation approach incervical cytopathology cell images

Analyzing physics-inspired metaheuristic algorithms in feature selection with K-nearest-neighbor

Course Difficulty Estimation Based on Mapping of Bloom’s Taxonomy and ABET Criteria

Multi-Lingual Sentiment Analysis of Urdu and English Tweets Using RNN with Bidirectional LSTM

Detection of COVID-19 cases from chest X-rays using deep learning feature extractor and multilevel voting classifier

Cluster-Centric Based Hybrid Approach for Cricket Sports Analytics Using Machine Learning

An Effective Decision Support System for Travel in COVID'19 Pandemic using Fuzzy Rules and Intelligent Algorithms

Dr. M. Premalatha Information

University

Position

VIT Chennai

Citations(all)

176

Citations(since 2020)

174

Cited By

17

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

VIT University

Google Scholar

View Google Scholar Profile

Dr. M. Premalatha Skills & Research Interests

Machine Learning

Top articles of Dr. M. Premalatha

Title

Journal

Author(s)

Publication Date

A comparative evaluation of nature-inspired algorithms for feature selection problems

Applied Sciences

Stanisław Kozdrowski

Mateusz Żotkiewicz

Kacper Wnuk

Arkadiusz Sikorski

Sławomir Sujecki

2020/9/29

Nucleus segmentation and classification using residual SE-UNet and feature concatenation approach incervical cytopathology cell images

Technology in Cancer Research & Treatment

G Jignesh Chowdary

Pratheepan Yogarajah

2023/2

Analyzing physics-inspired metaheuristic algorithms in feature selection with K-nearest-neighbor

Applied Sciences

Jayaraju Priyadarshini

Mariappan Premalatha

Robert Čep

Murugan Jayasudha

Kanak Kalita

2023/1/9

Course Difficulty Estimation Based on Mapping of Bloom’s Taxonomy and ABET Criteria

M Premalatha

G Suganya

V Viswanathan

G Jignesh Chowdary

2023/1/1

Multi-Lingual Sentiment Analysis of Urdu and English Tweets Using RNN with Bidirectional LSTM

Yash Deole

Tarun Jagadish

Md Shabrez

M Premalatha

G Anusooya

2023/12/14

Detection of COVID-19 cases from chest X-rays using deep learning feature extractor and multilevel voting classifier

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

G Suganya

M Premalatha

S Geetha

G Jignesh Chowdary

Seifedine Kadry

2022/10

Cluster-Centric Based Hybrid Approach for Cricket Sports Analytics Using Machine Learning

Rudra Patil

Ankita Duraphe

Pranav Motarwar

G Suganya

M Premalatha

2022/3/17

An Effective Decision Support System for Travel in COVID'19 Pandemic using Fuzzy Rules and Intelligent Algorithms

G Suganya

Ishika Naik

Anika Jagati

Heetakshi Fating

M Premalatha

2022/3/4

Application of semantic analysis and LSTM-GRU in developing a personalized course recommendation system

Applied Sciences

Mariappan Premalatha

Vadivel Viswanathan

Lenka Čepová

2022/10/25

Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism

G Jignesh Chowdary

Ganesh VSN Durga Yathisha

G Suganya

M Premalatha

2021/12/17

Impact of machine learning models in pneumonia diagnosis with features extracted from chest X-Rays using VGG16

Turkish Journal of Computer and Mathematics Education (TURCOMAT)

G Jignesh Chowdary

2021/4/11

Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays

medRxiv

Jignesh Chowdary Gutta

Karunamurthy K

2021

Cognitive approach for heart disease prediction using machine learning

Pranav Motarwar

Ankita Duraphe

G Suganya

M Premalatha

2020/2/24

Automated resource management on AWS cloud platform

Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges: ICBCC 2019, UMKC, Kansas City, USA

Simeen Sheikh

Ganesan Suganya

M Premalatha

2020

Subjective areas of improvement: a personalized recommendation

Procedia Computer Science

G Suganya

M Premalatha

Piyush Dubey

Aryan Raj Drolia

S Srihari

2020/1/1

See List of Professors in Dr. M. Premalatha University(VIT University)