Design of Improved Approaches for Automated Dietary Assessment

dc.contributor.guide	Purwar, Archana
dc.coverage.spatial
dc.creator.researcher	Chopra, Megha
dc.date.accessioned	2025-07-15T08:16:49Z
dc.date.available	2025-07-15T08:16:49Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2018
dc.description.abstract	included newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xvii, 167p.,Synopsis-22p.
dc.identifier.researcherid	0000-0001-8277-5827
dc.identifier.uri	http://hdl.handle.net/10603/652195
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering and Information Technology
dc.publisher.place	Noida
dc.publisher.university	Jaypee Institute of Information Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Automated dietary assessment
dc.subject.keyword	Computer Science Engineering and Information Technology
dc.subject.keyword	Computer Science Software Engineering
dc.subject.keyword	Convolutional Neural Networks
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Recommendation System
dc.subject.keyword	Segmentation, Food Recognition
dc.title	Design of Improved Approaches for Automated Dietary Assessment
dc.title.alternative
dc.type.degree	Ph.D.