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Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/1934
DC FieldValueLanguage
dc.contributor.authorChammas, Michelen_US
dc.contributor.authorMakhoul, Abdallahen_US
dc.contributor.authorDemerjian, Jacquesen_US
dc.date.accessioned2020-12-23T09:03:12Z-
dc.date.available2020-12-23T09:03:12Z-
dc.date.issued2019-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/1934-
dc.language.isoengen_US
dc.subjectEnergy predictionen_US
dc.subjectMultilayer Perceptron (MLP)en_US
dc.subjectClassification algorithmsen_US
dc.subject.lcshData miningen_US
dc.subject.lcshMachine learningen_US
dc.titleAn efficient data model for energy prediction using wireless sensorsen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1016/j.compeleceng.2019.04.002-
dc.contributor.affiliationInstitute of History Archeology and Near Eastern Studiesen_US
dc.description.volume76en_US
dc.description.startpage249en_US
dc.description.endpage257en_US
dc.date.catalogued2019-09-04-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://doi.org/10.1016/j.compeleceng.2019.04.002en_US
dc.identifier.OlibID198551-
dc.relation.ispartoftextJournal of computers & electrical engineeringen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Arts and Sciences-
Appears in Collections:Institute of History Archeology and Near Eastern Studies
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