Classification of peripheral pulse morphology using artificial intelligence techniques

dc.contributor.guide	Nagare, Gajanan D
dc.coverage.spatial
dc.creator.researcher	Patil, Nishant B
dc.date.accessioned	2026-01-08T12:10:12Z
dc.date.available	2026-01-08T12:10:12Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2022
dc.description.abstract	File attached newline
dc.description.note	Location-Knowledge Resource Centre, Kalina
dc.format.accompanyingmaterial	CD
dc.format.dimensions	30*21
dc.format.extent	xiv, 103p
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/686907
dc.language	English
dc.publisher.institution	Biomedical Engineering , MGM s College of Engineering and Technology
dc.publisher.place	Mumbai
dc.publisher.university	University of Mumbai
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering Biomedical
dc.subject.keyword	Peripheral pulse
dc.subject.keyword	Pulse patterns
dc.subject.keyword	Artificial intelligence
dc.subject.keyword	Transfer learning
dc.subject.keyword	Convolution neural network CNN
dc.subject.keyword	Machine learning
dc.title	Classification of peripheral pulse morphology using artificial intelligence techniques
dc.title.alternative
dc.type.degree	Ph.D.