Development of Multi Class Classification Methods To Improve BCI Assistive Embedded System For Cognitive Disability

dc.contributor.guide	Pasha I A and Satya Savithri T
dc.coverage.spatial
dc.creator.researcher	Hari Krishna D
dc.date.accessioned	2025-01-13T07:24:47Z
dc.date.available	2025-01-13T07:24:47Z
dc.date.awarded	2020
dc.date.completed	2020
dc.date.registered	2012
dc.description.abstract	Attached newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	141 pp.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/614463
dc.language	English
dc.publisher.institution	Department of Electronics and Communication Engineering
dc.publisher.place	Kukatpally
dc.publisher.university	Jawaharlal Nehru Technological University, Hyderabad
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Assistive Embedded System
dc.subject.keyword	Cgnitive Disability
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.subject.keyword	Multi Class Classification
dc.title	Development of Multi Class Classification Methods To Improve BCI Assistive Embedded System For Cognitive Disability
dc.title.alternative
dc.type.degree	Ph.D.