hybrid supervised learning approach for biometric authentication using ecg signals

dc.contributor.guide	J MOHANA
dc.coverage.spatial
dc.creator.researcher	M.MAGESH BABU
dc.date.accessioned	2025-03-11T04:59:42Z
dc.date.available	2025-03-11T04:59:42Z
dc.date.awarded	2024
dc.date.completed	2024
dc.date.registered	2021
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/627004
dc.language	English
dc.publisher.institution	Department of Engineering
dc.publisher.place	Chennai
dc.publisher.university	Saveetha University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	hybrid supervised learning approach for biometric authentication using ecg signals
dc.title.alternative
dc.type.degree	Ph.D.