Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519984
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dc.coverage.spatialComputer vision assisted deep learning techniques for effective contact tracing of covid 19 carriers from video clips
dc.date.accessioned2023-10-22T06:22:48Z-
dc.date.available2023-10-22T06:22:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/519984-
dc.format.extentxvii,137p
dc.languageEnglish
dc.relationp.130-136
dc.rightsuniversity
dc.titleComputer vision assisted deep learning techniques for effective contact tracing of covid 19 carriers from video clips
dc.title.alternative
dc.creator.researcherHaripriya, R
dc.subject.keywordCOVID 19
dc.subject.keywordDeep learning
dc.subject.keywordImmunology
dc.subject.keywordLife Sciences
dc.subject.keywordMultidisciplinary Sciences
dc.subject.keywordVideo clips
dc.description.note
dc.contributor.guideKousalya, G
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File56.81 kBAdobe PDFView/Open
02_prelim pages.pdf1.68 MBAdobe PDFView/Open
03_content.pdf229.86 kBAdobe PDFView/Open
04_abstract.pdf117.85 kBAdobe PDFView/Open
05_chapter 1.pdf1.13 MBAdobe PDFView/Open
06_chapter 2.pdf429.52 kBAdobe PDFView/Open
07_chapter 3.pdf1.37 MBAdobe PDFView/Open
08_chapter 4.pdf1.42 MBAdobe PDFView/Open
09_chapter 5.pdf1.64 MBAdobe PDFView/Open
10_annexures.pdf107.31 kBAdobe PDFView/Open
80_recommendation.pdf98.71 kBAdobe PDFView/Open


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