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Mobility using first and second derivatives for kernel-based regression in wireless sensor networks

date accessioned2020-03-12T19:53:27Z
date available2020-03-12T19:53:27Z
date issued2014
identifier other6837666.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/994013?show=full
formatgeneral
languageEnglish
publisherIEEE
titleMobility using first and second derivatives for kernel-based regression in wireless sensor networks
typeConference Paper
contenttypeMetadata Only
identifier padid8113352
subject keywordsBatteries
subject keywordsBattery charge measurement
subject keywordsLead compounds
subject keywordsRelays
subject keywordsRound robin
subject keywordsVoltage control
subject keywordsVoltage measurement
subject keywordsbattery
subject keywordscharge equalization
subject keywordsround robbin algorithm
subject keywordssequential difference algorithm
subject keywordsstate of charge (SOC)
identifier doi10.1109/ICAECC.2014.7002462
journal titleystems, Signals and Image Processing (IWSSIP), 2014 International Conference on
filesize562175
citations0
contributor rawauthorGhadban, N. , Honeine, P. , Mourad-Chehade, F. , Francis, C. , Farah, J.


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