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Energy management method using the IIR filter for PEMFC-supercapacitor hybrid power source

Author:
Yamanaka, T. , Katayama, N. , Tosaka, S. , Kogoshi, S.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICICA.2014.44
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1014252
Keyword(s): data analysis,data mining,diseases,medical computing,patient diagnosis,research and development,WHO,data-mining technologies,diabetes data analysis,diabetes diagnosis,diabetes prediction,diabetes research,diabetes researchers,disease prediction,Association rules,Decision trees,Diabetes,Diseases,Insulin,Plasmas
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    Energy management method using the IIR filter for PEMFC-supercapacitor hybrid power source

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date accessioned2020-03-12T20:25:51Z
date available2020-03-12T20:25:51Z
date issued2014
identifier other6869743.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1014252?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleEnergy management method using the IIR filter for PEMFC-supercapacitor hybrid power source
typeConference Paper
contenttypeMetadata Only
identifier padid8137590
subject keywordsdata analysis
subject keywordsdata mining
subject keywordsdiseases
subject keywordsmedical computing
subject keywordspatient diagnosis
subject keywordsresearch and development
subject keywordsWHO
subject keywordsdata-mining technologies
subject keywordsdiabetes data analysis
subject keywordsdiabetes diagnosis
subject keywordsdiabetes prediction
subject keywordsdiabetes research
subject keywordsdiabetes researchers
subject keywordsdisease prediction
subject keywordsAssociation rules
subject keywordsDecision trees
subject keywordsDiabetes
subject keywordsDiseases
subject keywordsInsulin
subject keywordsPlasmas
identifier doi10.1109/ICICA.2014.44
journal titleower Electronics Conference (IPEC-Hiroshima 2014 - ECCE-ASIA), 2014 International
filesize2115025
citations0
contributor rawauthorYamanaka, T. , Katayama, N. , Tosaka, S. , Kogoshi, S.
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