Machine intelligence-based recognition of human activities with spatial and temporal dynamics

dc.contributor.guide	Prajapati, Amarjeet and Vidyarthi, Ankit
dc.creator.researcher	Thakur, Ujwala
dc.date.accessioned	2025-04-09T11:25:25Z
dc.date.available	2025-04-09T11:25:25Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2018
dc.description.abstract	newline
dc.format.accompanyingmaterial	None
dc.format.extent	xviii, 154p.,Synopsis-20p.
dc.identifier.researcherid	0000-0001-8064-7709
dc.identifier.uri	http://hdl.handle.net/10603/632637
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.rights	university
dc.source.university	University
dc.subject.keyword	Bi-GRU
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Deep Learning Sensor- Based HAR
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Human Activity Recognition
dc.subject.keyword	Machine Learning
dc.subject.keyword	TWIN SVM
dc.subject.keyword	Vision-Based HAR
dc.title	Machine intelligence-based recognition of human activities with spatial and temporal dynamics
dc.type.degree	Ph.D.