Flood Severity Prediction and Depth Assessment Using Deep Learning Models on IOT and Image Based Data

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dc.contributor.guidePushpa Rani, M
dc.coverage.spatialComputer Science
dc.creator.researcherMichael Antony Sylvia, J
dc.date.accessioned2024-01-10T11:32:14Z
dc.date.available2024-01-10T11:32:14Z
dc.date.awarded2023
dc.date.completed2023
dc.date.registered2019
dc.description.noteBibliography p.162-180
dc.format.accompanyingmaterialDVD
dc.format.dimensionsA4
dc.format.extentXxix, 161p.
dc.identifier.urihttp://hdl.handle.net/10603/538768
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science
dc.publisher.placeKodaikanal
dc.publisher.universityMother Teresa Womens University
dc.relation193 Nos.
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.titleFlood Severity Prediction and Depth Assessment Using Deep Learning Models on IOT and Image Based Data
dc.title.alternative-
dc.type.degreePh.D.

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