Dr Ganesh Kumar M
Assistant Professor
| Department of Electronics and Communication Engineering
QIS College of Engineering & Technology, Vengamukkapalem (Village), Pondur Road, Ongle(M),PIN-523 272.(CC-49)
Andhra Pradesh
Expertise:
Computer Science Artificial Intelligence
12
Publications
0
Projects
89
Scopus Citations
69
CrossRef
11 Years 8 Months Total Experience
Scopus
89
Citations
3
h-index
CrossRef
69
Citations
3
h-index
Google Scholar
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Professional Recognition
Research Award
2023
VIT-AP University
Research Award in Patents category
2023
VIT-AP University
Research Award
2022
VIT-AP University
Community & Membership
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Personal Details
Doctor of Philosophy
2024
N/A
Master of Technology
2013
N/A
Bachelor of Technology
2011
N/A
Assistant Professor
Sep 2023 – Present
QIS College of Engineering & Technology, Vengamukkapalem (Village), Pondur Road, Ongle(M),PIN-523 272.(CC-49)
| Department of Electronics and Communication Engineering
Assistant Professor
Aug 2021 – Sep 2023
Vellore Institute of Technology - Andhra Pradesh
| School of Computer Science and Engineering
Assistant Professor
Jul 2017 – Feb 2021
SVR Engineering College, Nandyal
| Department of Electronics and Communication Engineering
Assistant Professor
Jan 2014 – Nov 2016
SVR Engineering College, Nandyal
| Department of Electronics and Communication Engineering
Engineering and Technology
Scholarly Work
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Early Prediction of Knee Osteoarthritis using Ensemble Machine Learning Approach
VIT-AP University
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Application No. :
202341003996 A
Filed :
01-11-2022
Published :
30-11--0001
Published
Scholarly Publications
An Effective Multidrug-Resistant Tuberculosis Detection Using DenseNet121 Feature Treatment and Feed-Forward MLP Classification
Machine Learning-Based Analytics for Premature Rheumatoid Arthritis and Osteoarthritis Detection in Clinical Practices—A Review
Deep Convolutional Neural Network Classifier for Effective Knee Osteoarthritis Classification
Open AccessInnovative Optimal Path Selection with Street-Centric Routing in Urban Vehicular Ad hoc Networks
Performance Analysis of 5:2 compressor with 58 transistors
Open Access
10.1088/1742-6596/1804/1/012162
Scopus: 1
Knee osteoarthritis classification using Optimized Granger Causality Inspired Graph Neural Network with Accelerated Model-agnostic Explanations
EHA-LNN: Optimized light gradient-boosting machine enabled neural network for cancer detection using mammography
Early knee osteoarthritis classification using distributed explainable convolutional neural network with local interpretable model-agnostic explanations
Showing 1 to 8 of 12 publications