Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/449661
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dc.coverage.spatial
dc.date.accessioned2023-01-19T06:19:34Z-
dc.date.available2023-01-19T06:19:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/449661-
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeep Learning for Human Action Recognition in the Classroom Environment
dc.title.alternative
dc.creator.researcherSharma, Vijeta
dc.subject.keywordClassroom environment
dc.subject.keywordDeep Learning
dc.subject.keywordHuman action
dc.subject.keywordMathematics
dc.subject.keywordMathematics Interdisciplinary Applications
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideGupta,Manjari and Pandey, Anil Kumar and Kumar, Ajai
dc.publisher.placeVaranasi
dc.publisher.universityBanaras Hindu University
dc.publisher.institutionDepartment of Applied Mathematics
dc.date.registered
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Applied Mathematics

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01_title.pdfAttached File560.81 kBAdobe PDFView/Open
02_prelim pages.pdf454.2 kBAdobe PDFView/Open
03_content.pdf95.66 kBAdobe PDFView/Open
04_abstract.pdf791.34 kBAdobe PDFView/Open
05_chapter 1.pdf1.05 MBAdobe PDFView/Open
06_chapter 2.pdf592.75 kBAdobe PDFView/Open
07_chapter 3.pdf906 kBAdobe PDFView/Open
08_chapter 4.pdf362.47 kBAdobe PDFView/Open
09_chapter 5.pdf884.9 kBAdobe PDFView/Open
10_annexures.pdf7.63 MBAdobe PDFView/Open
11_chapter 6.pdf1.06 MBAdobe PDFView/Open
12_chapter 7.pdf367.05 kBAdobe PDFView/Open
80_recommendation.pdf928.07 kBAdobe PDFView/Open


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