Mr G Ramesh Kalyan
Assistant Professor
| Department of Computer Science and Engineering
SNS College of Technology
Tamil Nadu
Expertise:
Computer Science Information Systems
16
Publications
0
Projects
34
Scopus Citations
28
CrossRef
6 Years 4 Months Total Experience
Scopus
34
Citations
4
h-index
CrossRef
28
Citations
4
h-index
Google Scholar
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Personal Details
Master of Engineering
2015
N/A
Bachelor of Engineering
2012
N/A
Assistant Professor
Dec 2021 – Present
SNS College of Technology
| Department of Computer Science and Engineering
Assistant Professor
Feb 2021 – Jun 2021
Park College of Engineering and Technology
Assistant Professor
Jul 2019 – Aug 2020
KPR Institute of Engineering and Technology
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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Smart AI Platform for Secure, Inclusive Employee Training and Skill Growth Using NLP and Federated Learning
M. Suseela Grace Padma
Dr. N. Yamuna Devi
Ms. Shweta Gupta
Niraj Kumar Rai
Mr. G. Ramesh Kalyan
Dr. NIRAVKUMAR RAMESHCHANDRA JOSHI
Prof.Shivanand Bhimashankar Konade
Shanthi.P
-
Application No. :
202541056732
Filed :
12-06-2025
Published :
20-06-2025
Published
Design system of Auto-Metric Graph Neural Network for Paddy Leaf Disease Classification
Dr.G.Vetrichelvi
Ms.Margret Sharmila
Mr. G.Ramesh Kalyan
Dr.S.Sujanthi
-
Application No. :
202341004788
Filed :
24-01-2023
Published :
17-02-2023
Published
Scholarly Publications
Hand Sign Recognition using Deep Convolutional Neural Network
Cost-Effective Distributed Booster Load Balancer in Amazon Cloud Environment
Self-Organized Multi-Hop Bridge Reservation Medium Access Control for Cyber Physical Autonomous Vehicles
10.1109/ICOEI53556.2022.9777198
Scopus: 1
Identifying the Credentials of Agricultural Seeds in Modern Era
TAASR: TRUST BASED AUTHENTICATED ANONYMOUS SECURE ROUTING PROTOCOL FOR MANETs
Optimized Plant Disease Prediction using CNN and Fertilizer Recommendation Engine
Enhancing Smart Farming Through Chain-of-Things (CoT) Architecture: A Comprehensive Study on IoT and Blockchain Integration
Big Data Clustering Algorithms: Improving Efficiency and Scalability for Massive Data Mining and Pattern Recognition
Showing 1 to 8 of 16 publications