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Using novel shape, color and texture descriptors for human hand detection

date accessioned2020-03-12T19:35:46Z
date available2020-03-12T19:35:46Z
date issued2014
identifier other6778138.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/983062?show=full
formatgeneral
languageEnglish
publisherIEEE
titleUsing novel shape, color and texture descriptors for human hand detection
typeConference Paper
contenttypeMetadata Only
identifier padid8098333
subject keywordsLong Term Evolution
subject keywordscellular radio
subject keywordscognitive radio
subject keywordsemergency management
subject keywordsquality of service
subject keywordstelecommunication network management
subject keywordstelecommunication network topology
subject keywordstelecommunication traffic
subject keywordsaerial eNB location management
subject keywordsaerial eNB number management
subject keywordsaerial eNB time management
subject keywordscost consumption
subject keywordsdisaster relief operation
subject keywordsdynamic placement strategy
subject keywordsdynamic topology management functionalities
subject keywordsenergy consumption
subject keywordsevolutionary roll back
subject keywordsevolutionary roll out
subject keywordsflexible aerial-terrestrial
identifier doi10.1109/CCS.2014.6933798
journal titlepplied Sciences and Technology (IBCAST), 2014 11th International Bhurban Conference on
filesize589295
citations0
contributor rawauthorAziz, M.A.A. , Jianwei Niu , Xiaoke Zhao , Jiangwei Li , Kongqiao Wang


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