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Multiple classifier combination technique for sensor drift compensation using ANN & KNN

contributor authorAdhikari, S. , Saha, S.
date accessioned2020-03-12T19:36:41Z
date available2020-03-12T19:36:41Z
date issued2014
identifier other6779495.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/983612?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleMultiple classifier combination technique for sensor drift compensation using ANN & KNN
typeConference Paper
contenttypeMetadata Only
identifier padid8098908
subject keywordsCoulomb blockade
subject keywordsII-VI semiconductors
subject keywordsbiexcitons
subject keywordscadmium compounds
subject keywordsk.p calculations
subject keywordsquasiparticles
subject keywordssemiconductor quantum dots
subject keywordsspin Hamiltonians
subject keywordsspin-orbit interactions
subject keywordswide band gap semiconductors
subject keywordsCdSe-CdTe
subject keywordsCdSe-CdTe colloidal quantum dots
subject keywordsCoulomb interaction
subject keywordsbi-exciton energy
subject keywordsconfiguration interaction
subject keywordsdielectric constants
subject keywordselectrostatic interaction
subject keywordsexciton states
subject keywordsk&
subject keywords#x00B7
subject keywordsp Hamiltonian
subject keywordsmany-body effects
subject keywordsmany-electron configurations
subject keywordspiezoelectric potentials
subject keywordsquasiparticle
identifier doi10.1109/NUSOD.2014.6935326
journal titledvance Computing Conference (IACC), 2014 IEEE International
filesize424180
citations0


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