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Marine Biodiversity Classification Using Dropout Regularization

contributor authorRahimi, A.M.
contributor authorMiller, R.J.
contributor authorFedorov, D.V.
contributor authorSunderrajan, S.
contributor authorDoheny, B.M.
contributor authorPage, H.M.
contributor authorManjunath, B.S.
date accessioned2020-03-12T21:50:46Z
date available2020-03-12T21:50:46Z
date issued2014
identifier other6961272.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1062557?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleMarine Biodiversity Classification Using Dropout Regularization
typeConference Paper
contenttypeMetadata Only
identifier padid8194571
subject keywordsbattery storage plants
subject keywordsn power generation reliability
subject keywordsn pricing
subject keywordsn smart power grids
subject keywordsn BESS energy state
subject keywordsn aggregators
subject keywordsn battery energy storage system
subject keywordsn billing period
subject keywordsn dynamic programming algorithm
subject keywordsn electricity consumption
subject keywordsn electricity price
subject keywordsn electricity suppliers
subject keywordsn electricity users
subject keywordsn grid reliability
subject keywordsn optimal pricing policy
subject keywordsn optimal real-time pricing policy
subject keywordsn pricing model
subject keywordsn reliability
subject keywordsn smart grid infrastructure
subject keywordsn two-stage game
identifier doi10.1109/GREENTECH.2014.28
journal titleomputer Vision for Analysis of Underwater Imagery (CVAUI), 2014 ICPR Workshop on
filesize1012399
citations0


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