An efficient computing model to quantify human intelligence index using EEG Analysis

dc.contributor.guide	Sanjay Pande M B
dc.coverage.spatial	Computer Science
dc.creator.researcher	Mouneshachari S
dc.date.accessioned	2018-05-02T05:34:38Z
dc.date.available	2018-05-02T05:34:38Z
dc.date.awarded	16/12/2017
dc.date.completed	07/11/2017
dc.date.registered	14/02/2014
dc.description.abstract	People often assume understanding or decoding the emotion is easy. Also a academic competitive exam indicates the Intelligence of an individual which is highly a debatable concept. Many researchers have tried to develop models based on various parameters of newlinebiological significance and academic parameters to have a effective tool for quantifying both Emotion and Intelligence newline newline
dc.description.note	Reference 123 - 133p.
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	172p.
dc.identifier.uri	http://hdl.handle.net/10603/202719
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering
dc.publisher.place	Bengaluru
dc.publisher.university	Jain University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Human Intelligence
dc.title	An efficient computing model to quantify human intelligence index using EEG Analysis
dc.title.alternative
dc.type.degree	Ph.D.