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Section Editor’s Profile

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Dr. Viswanatha V.

Designation : Assistant Professor (Grade-III)

Affiliation : Nitte Meenakshi Institute of Technology Karnataka, India, 560064

Expertise: Convolutional Neural Network,Machine Learning,Convolutional Neural Network Model,Deep Learning,Internet Of Things,Learning Algorithms,Object Detection,Support Vector Machine,Chest X-ray,Data Augmentation,Deep Neural Network,Edge Devices

Institution Profile Link : https://nmit.irins.org/profile/314650

Offical Email :

Role: Section Editor

Journal: Journal of Microcontroller Engineering and Applications

About Me

Assistant Professor (Grade-III) in Electronics and Communication at
Nitte Meenakshi Institute of Technology, Karnataka, India
My expertise are Convolutional Neural Network,Machine Learning,Convolutional Neural Network Model,Deep Learning,Internet Of Things,Learning Algorithms,Object Detection,Support Vector Machine,Chest X-ray,Data Augmentation,Deep Neural Network,Edge Devices

Recent Publications

  1. Viswanatha V. Microcontroller based bidirectional buck–boost converter for photo-voltaic power plant. Journal of Electrical Systems and Information Technology. 2018 Dec 1;5(3):745-58 Available https://www.sciencedirect.com/science/article/pii/S231471721730017X
  2. Viswanatha V, Reddy RV. Digital control of buck converter using arduino microcontroller for low power applications. In2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon) 2017 Aug 17 (pp. 439-443). Available https://ieeexplore.ieee.org/abstract/document/8358412
  3. Viswanatha V. Stability and Dynamic Response of Analog and Digital Control loops of Bidirectional buck-boost Converter for Renewable Energy Applications Available https://osf.io/preprints/inarxiv/m3c7r/
  4. Viswanatha V, Sathisha BM, Kumari A. Custom Hardware and Software Integration: Bluetooth Based Wireless Thermal Printer for Restaurant and Hospital Management. In2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) 2022 Oct 16 (pp. 1-5). IEEE Available https://ieeexplore.ieee.org/abstract/document/9972714