R. Srivel

Srivel Ravi received B.E., Degree in Electronics and Communication Engineering from Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu. M.E. Degree in Embedded systems from Anna University, Chennai. He is working as a Assistant professor in the department of Electrical and electronics Engineering, Adhiparasakthi Engineering college, Melmaruvathur. He worked as Associate Professor Department of Electronics and Communication Engineering, in Aurora scientific Technological, Research Academy Hyderabad for 4 years in Telagana, he has 13 years of experience including research and academic His research interests are in the field of RFID, wireless networks, VLSI Design and embedded systems, computer applications in industry, industrial remote monitoring and control using GSM, GPRS, MMS networks. he has published 10 research papers at the National level conference, 11 research papers in an international conference, 7 research papers in a national journal and 5 research papers International Journal, He has written a book called Television & video Engineering Published by ANE books P.v.t New Delhi, ISBN 978-93- 8015-669- 9, November 2010. His publication areas are in reputed academic and policy-oriented journals. I have good knowledge of various Research software SPSS, AMOS, STATA, Verilog HDL, MATLAB, PSpice, Circuit Maker, EWB, DSCH, Microwind 3.1 and Smart PLS. He is a Life Member of ISTE.

Publications

Enhancing Elderly Health Monitoring Framework With Quantum-Assisted Machine Learning Models as Micro Services
Enhancing Elderly Health Monitoring Framework With Quantum-Assisted Machine Learning Models as Micro Services
A. Bhuvaneswari, R. Srivel, N. Elamathi, S. Shitharth, K. Sangeetha. © 2024. 15 pages.
Monitoring systems for the elderly gather a variety of information, including blood pressure, insulin level, oxygen saturation, and more. Machine learning is a multidisciplinary...
Quantum Computing for Dengue Fever Outbreak Prediction: Machine Learning and Genetic Hybrid Algorithms Approach
Quantum Computing for Dengue Fever Outbreak Prediction: Machine Learning and Genetic Hybrid Algorithms Approach
Dhaya Chinnathambi, Srivel Ravi, Mohammed Abdul Matheen, Saravanan Pandiaraj. © 2024. 13 pages.
Dengue virus infection originates from the Aedes mosquito species. The authors propose a novel paradigm to revolutionize dengue fever detection and recommendation systems by...
Early Detection of Parkinson's Disease Using Deep Learning: A Convolutional Bi-Directional GRU Approach
Early Detection of Parkinson's Disease Using Deep Learning: A Convolutional Bi-Directional GRU Approach
Dhaya Chinnathambi, Srivel Ravi, Hariharan Dhanasekaran, Viswanathan Dhandapani, Ramana Rao, Saravanan Pandiaraj. © 2024. 13 pages.
Machine learning is an evolving technology, which uses deep learning, a subset of artificial intelligence, harnesses neural networks, mirroring the human brain, for feature...
Enhancing Parkinson's Disease Diagnosis Through Mayfly-Optimized CNN BiGRU Classification: A Performance Evaluation
Enhancing Parkinson's Disease Diagnosis Through Mayfly-Optimized CNN BiGRU Classification: A Performance Evaluation
Hariharan Dhanaskaran, Dhaya Chinnathambi, Srivel Ravi, Viswanathan Dhandapani, M. V. Ramana Rao, Mohammed AbdulMatheen. © 2024. 14 pages.
Neuron degeneration in the human brain causes Parkinson's disease (PD). The technique employed for detecting early PD is based on a parametric analysis of acoustic sounds....