Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/538063
Title: Suspicious activity detection using artificial intelligence
Researcher: Mali, Shital Sunil
Guide(s): Khot, Uday Pandit
Keywords: Convolutional Neural Network
Electronics and Telecommunication
Engineering
Engineering and Technology
Fire and smoke detection-Artificial Intelligence
University: University of Mumbai
Completed Date: 2023
Abstract: File attached newline
Pagination: xvii, 164p
URI: http://hdl.handle.net/10603/538063
Appears in Departments:Electronics and Telecommunication Engineering St Francis Institute of Technology

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01_title.pdfAttached File23.97 kBAdobe PDFView/Open
02_prelim pages.pdf358.46 kBAdobe PDFView/Open
03_contents.pdf131.54 kBAdobe PDFView/Open
04_abstracts.pdf55.83 kBAdobe PDFView/Open
05_chapter 1.pdf206.84 kBAdobe PDFView/Open
06_chapter 2.pdf466.67 kBAdobe PDFView/Open
07_chapter 3.pdf703.25 kBAdobe PDFView/Open
08_chapter 4.pdf2.73 MBAdobe PDFView/Open
09_chapter 5.pdf342.47 kBAdobe PDFView/Open
10_chapter 6.pdf154.31 kBAdobe PDFView/Open
11_annexures.pdf372.83 kBAdobe PDFView/Open
80_recommendation.pdf177.42 kBAdobe PDFView/Open
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