Recognition of Symbols within Online Handwritten Physics Expressions using Hybrid Learning Models and Feature Fusion Techniques

dc.contributor.guide	Naik, Sachin
dc.coverage.spatial
dc.creator.researcher	Kolte, Ujwala Pritam
dc.date.accessioned	2025-12-03T09:00:50Z
dc.date.available	2025-12-03T09:00:50Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2016
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	x, 198p.
dc.identifier.researcherid	0009-0003-6912-3826
dc.identifier.uri	http://hdl.handle.net/10603/677782
dc.language	English
dc.publisher.institution	Faculty of Computer Studies
dc.publisher.place	Pune
dc.publisher.university	Symbiosis International University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Interdisciplinary Applications
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Feature Fusion
dc.subject.keyword	Handwritten Expression Analysis
dc.subject.keyword	Hybrid Learning Models
dc.subject.keyword	Online Handwriting Recognition
dc.subject.keyword	Physics Symbol Recognition
dc.title	Recognition of Symbols within Online Handwritten Physics Expressions using Hybrid Learning Models and Feature Fusion Techniques
dc.title.alternative
dc.type.degree	Ph.D.