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Artificial Neural Networks for developing localization framework in Wireless Sensor Networks

contributor authorPayal, Ashish
contributor authorRai, C.S.
contributor authorReddy, B.V.R.
date accessioned2020-03-12T21:42:27Z
date available2020-03-12T21:42:27Z
date issued2014
identifier other6954228.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1057605?show=full
formatgeneral
languageEnglish
publisherIEEE
titleArtificial Neural Networks for developing localization framework in Wireless Sensor Networks
typeConference Paper
contenttypeMetadata Only
identifier padid8188838
subject keywordsinvertors
subject keywordsn photovoltaic power systems
subject keywordsn zero current switching
subject keywordsn zero voltage switching
subject keywordsn CEC
subject keywordsn California Energy Commission
subject keywordsn ac-link universal power converters
subject keywordsn galvanic isolation
subject keywordsn inductor current
subject keywordsn partial resonant ac-link converters
subject keywordsn photovoltaic inverters
subject keywordsn single-phase high-frequency transformer
subject keywordsn single-phase soft-switching ac-link buck-boost inverter
subject keywordsn soft turn-off
subject keywordsn three-phase ac to ac conversion
subject keywordsn three-phase ac to dc conversion
identifier doi10.1109/APEC.2014.6803609
journal titleata Mining and Intelligent Computing (ICDMIC), 2014 International Conference on
filesize284911
citations0


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