Reduction of transients in switches using embedded machine learning

10.11591/ijpeds.v11.i1.pp235-241

Saved in:

Bibliographic Details
Main Authors:	Suresh, P., George Fernandez, S., Vidyasagar, S., Kalyanasundaram, V., Vijayakumar, K., Archana, V., Chatterjee, S.
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Article
Published:	Institute of Advanced Engineering and Science 2021
Subjects:	Embedded systems Machine learning neural Networks Solid state switches Transients
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/198811
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-198811
record_format	dspace
spelling	sg-nus-scholar.10635-1988112024-04-16T11:14:47Z Reduction of transients in switches using embedded machine learning Suresh, P. George Fernandez, S. Vidyasagar, S. Kalyanasundaram, V. Vijayakumar, K. Archana, V. Chatterjee, S. ELECTRICAL AND COMPUTER ENGINEERING Embedded systems Machine learning neural Networks Solid state switches Transients 10.11591/ijpeds.v11.i1.pp235-241 International Journal of Power Electronics and Drive Systems 11 1 235-241 2021-08-23T07:09:25Z 2021-08-23T07:09:25Z 2020-03 Article Suresh, P., George Fernandez, S., Vidyasagar, S., Kalyanasundaram, V., Vijayakumar, K., Archana, V., Chatterjee, S. (2020-03). Reduction of transients in switches using embedded machine learning. International Journal of Power Electronics and Drive Systems 11 (1) : 235-241. ScholarBank@NUS Repository. https://doi.org/10.11591/ijpeds.v11.i1.pp235-241 20888694 https://scholarbank.nus.edu.sg/handle/10635/198811 Attribution-ShareAlike 4.0 International http://creativecommons.org/licenses/by-sa/4.0/ Institute of Advanced Engineering and Science Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Embedded systems Machine learning neural Networks Solid state switches Transients
spellingShingle	Embedded systems Machine learning neural Networks Solid state switches Transients Suresh, P. George Fernandez, S. Vidyasagar, S. Kalyanasundaram, V. Vijayakumar, K. Archana, V. Chatterjee, S. Reduction of transients in switches using embedded machine learning
description	10.11591/ijpeds.v11.i1.pp235-241
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING Suresh, P. George Fernandez, S. Vidyasagar, S. Kalyanasundaram, V. Vijayakumar, K. Archana, V. Chatterjee, S.
format	Article
author	Suresh, P. George Fernandez, S. Vidyasagar, S. Kalyanasundaram, V. Vijayakumar, K. Archana, V. Chatterjee, S.
author_sort	Suresh, P.
title	Reduction of transients in switches using embedded machine learning
title_short	Reduction of transients in switches using embedded machine learning
title_full	Reduction of transients in switches using embedded machine learning
title_fullStr	Reduction of transients in switches using embedded machine learning
title_full_unstemmed	Reduction of transients in switches using embedded machine learning
title_sort	reduction of transients in switches using embedded machine learning
publisher	Institute of Advanced Engineering and Science
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/198811
_version_	1800914960906190848

Reduction of transients in switches using embedded machine learning

Similar Items