Deep learning based object detection approaches for enhancing anomaly identification in pedestrain ways

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dc.contributor.guideShaik Mahaboob Basha
dc.coverage.spatial
dc.creator.researcherAllabaksh Shaik
dc.date.accessioned2025-08-07T05:02:21Z
dc.date.available2025-08-07T05:02:21Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered2020
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/656252
dc.languageEnglish
dc.publisher.institutionDepartment of Electronics and Communication
dc.publisher.placeAnantapuram
dc.publisher.universityJawaharlal Nehru Technological University, Anantapuram
dc.relationNo of References 132
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.titleDeep learning based object detection approaches for enhancing anomaly identification in pedestrain ways
dc.title.alternative
dc.type.degreePh.D.

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