MUDRA NARASIMHARAO

About

Narasimha Rao Mudra was born in Guntur, India. He received his B.tech. degree in Electronics and Communication Engineering from JNTU Kakinada, India, in 2016, and his M.tech. degree in VLSI & ESD from JNTU K University of GMRIT Technology, Rajam, India, in 2019. Currently Pursuing (Ph.D.) at SOA University, Narasimharao does research in Artificial intelligence, Machine Learning, IoT, Biomedical Systems, SOI MOSFETS, Engineering Physics, VLSI Engineering, and Electronics Engineering.

Employment

Employment history is unavailable.

Education

• Siksha O Anusandhan University Institute of Technical Education and Research Department of Electronics and Communication Engineering PhD
  2022 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Assessing the Feasibility and Efficacy of TinyML Based Voice-Activated LED Lighting System for Smart Village Micro-Utilities
  2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation, SeFet 2023 2023 DOI: 10.1109/SeFeT57834.2023.10245189
  +Save
• Assessing the Feasibility of a Machine Learning-Based Diabetes Prediction Framework for e-Health Systems
  2023 2nd International Conference on Ambient Intelligence in Health Care, ICAIHC 2023 2023 DOI: 10.1109/ICAIHC59020.2023.10431456
  +Save
• Developing and Evaluating a Machine Learning Based Diagnosis System for Diabetes Mellitus using Interpretable Techniques
  2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023 2023 DOI: 10.1109/APSIT58554.2023.10201753
  +Save
• Development of Real-Time Cloud Based Smart Remote Healthcare Monitoring System
  Smart Innovation, Systems and Technologies 2023 DOI: 10.1007/978-981-19-6068-0_21
  +Save
• Enhanced Diabetic Retinopathy Detection through Convolutional Neural Networks for Retinal Image Classification
  2023 2nd International Conference on Ambient Intelligence in Health Care, ICAIHC 2023 2023 DOI: 10.1109/ICAIHC59020.2023.10431450
  +Save
• Performance Evaluation of Machine Learning Algorithms for Arrhythmia Classification in ECG Signals
  2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023 2023 DOI: 10.1109/APSIT58554.2023.10201737
  +Save
• Cloud Based Automated Low Power Long Range Smart Farming Modular IoT Architecture
  2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2022 2022 DOI: 10.1109/ODICON54453.2022.10010231
  +Save
• Performance Evaluation of a Remote Diabetes Healthcare Disease Prediction Framework Using Machine Learning Paradigm for e-health Services
  2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2022 2022 DOI: 10.1109/ODICON54453.2022.10010258
  +Save