Automated Recognition Of Distress In Flexible Pavements Using Machine Learning Approaches

dc.contributor.guide	S,Srinath
dc.coverage.spatial	Engineering
dc.creator.researcher	R,Rakshitha
dc.date.accessioned	2026-02-12T11:11:30Z
dc.date.available	2026-02-12T11:11:30Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2021
dc.description.abstract	newline Find the attachment below
dc.description.note	bibliography 210
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	252p
dc.identifier.researcherid	0000-0002-8812-4619
dc.identifier.uri	http://hdl.handle.net/10603/694948
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Mysuru
dc.publisher.university	JSS Science and Technology University, Mysuru
dc.relation	210 Bibliography
dc.rights	university
dc.source.university	University
dc.subject.keyword	Classic Machine Learning
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Deep Learning
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Pavement crack assessment
dc.subject.keyword	Pavement crack detection and classification
dc.subject.keyword	Transfer Learning
dc.title	Automated Recognition Of Distress In Flexible Pavements Using Machine Learning Approaches
dc.title.alternative
dc.type.degree	Ph.D.