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A Q-learning game-theory-based algorithm to improve the energy efficiency of a multiple relay-aided network

Author:
Shams, F.
,
Bacci, G.
,
Luise, M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/BIOMS.2014.6951529
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1040451
Keyword(s): Databases,Face,Nose,Shape,Testing,Three-dimensional displays,Training,3D face processing,3D feature descriptors,Point-triplet spin-image,facial landmark localisation
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    A Q-learning game-theory-based algorithm to improve the energy efficiency of a multiple relay-aided network

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contributor authorShams, F.
contributor authorBacci, G.
contributor authorLuise, M.
date accessioned2020-03-12T21:11:58Z
date available2020-03-12T21:11:58Z
date issued2014
identifier other6929244.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1040451?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleA Q-learning game-theory-based algorithm to improve the energy efficiency of a multiple relay-aided network
typeConference Paper
contenttypeMetadata Only
identifier padid8167530
subject keywordsDatabases
subject keywordsFace
subject keywordsNose
subject keywordsShape
subject keywordsTesting
subject keywordsThree-dimensional displays
subject keywordsTraining
subject keywords3D face processing
subject keywords3D feature descriptors
subject keywordsPoint-triplet spin-image
subject keywordsfacial landmark localisation
identifier doi10.1109/BIOMS.2014.6951529
journal titleeneral Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
filesize3018377
citations0
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