Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/426396
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dc.coverage.spatial
dc.date.accessioned2022-12-17T09:57:33Z-
dc.date.available2022-12-17T09:57:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/426396-
dc.description.abstractAvailable newline
dc.format.extenti;218p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMegastores Surveillance for Identifying Shoplifters and Shoplifting Activities
dc.title.alternative
dc.creator.researcherAnsari, Mohd. Aquib
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSingh, Dushyant Kumar
dc.publisher.placeAllahabad
dc.publisher.universityMotilal Nehru National Institute of Technology
dc.publisher.institutionDepartment of Computer Scinece and Engineering
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Scinece and Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File61.29 kBAdobe PDFView/Open
02_prelim pages.pdf185.41 kBAdobe PDFView/Open
03_content.pdf38.6 kBAdobe PDFView/Open
04_abstract.pdf78.2 kBAdobe PDFView/Open
05_chapter 1.pdf771.25 kBAdobe PDFView/Open
06_chapter 2.pdf707.56 kBAdobe PDFView/Open
07_chapter 3.pdf1.2 MBAdobe PDFView/Open
08_chapter 4.pdf829.61 kBAdobe PDFView/Open
09_chapter 5.pdf618.65 kBAdobe PDFView/Open
10_chapter 6.pdf109.76 kBAdobe PDFView/Open
11_annexures.pdf192.63 kBAdobe PDFView/Open
80_recommendation.pdf12.73 MBAdobe PDFView/Open


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