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Adaptive non-intrusive Load Monitoring model using Bayesian learning

contributor authorIksan, N.
contributor authorSupangkat, S.H.
date accessioned2020-03-12T22:31:22Z
date available2020-03-12T22:31:22Z
date issued2014
identifier other7013179.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1085841?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAdaptive non-intrusive Load Monitoring model using Bayesian learning
typeConference Paper
contenttypeMetadata Only
identifier padid8223393
subject keywordselemental semiconductors
subject keywordsn lattice dynamics
subject keywordsn metamaterials
subject keywordsn semiconductor thin films
subject keywordsn silicon
subject keywordsn thermal conductivity
subject keywordsn thermoelectric power
subject keywordsn atomic lattice dispersion
subject keywordsn engineered manipulation
subject keywordsn experimentally-fitted lattice dynamics
subject keywordsn hybridization mechanism
subject keywordsn nanophononic metamaterials
subject keywordsn nanostructured material configuration
subject keywordsn periodic pillar array
subject keywordsn power factor
subject keywordsn semiconducting materials
subject keywordsn silicon thin film
subject keywordsn thermal conductivity reducti
identifier doi10.1109/ITHERM.2014.6892340
journal titleCT For Smart Society (ICISS), 2014 International Conference on
filesize866692
citations0


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