1. Shodhganga@INFLIBNET
  2. University of Mumbai
  3. Computer Engineering, K J Somaiya College of Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/531681
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-12-20T11:14:17Z-
dc.date.available2023-12-20T11:14:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/531681-
dc.description.abstractFile attached newline
dc.format.extentxii, 160p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleExploring world wide web information optimizing user requirements using machine learning approach
dc.title.alternative
dc.creator.researcherBhoir, Smita Vinit
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordColor based image retrieval
dc.subject.keywordComputer Science
dc.subject.keywordContent-based image retrieval
dc.subject.keywordConvolution neural network
dc.subject.keywordDeep learning
dc.subject.keywordEngineering and Technology
dc.subject.keywordFashion
dc.subject.keywordMachine learning
dc.description.noteLocation - Knowledge Resource Centre, Kalina
dc.contributor.guidePatil, Sunita R
dc.publisher.placeMumbai
dc.publisher.universityUniversity of Mumbai
dc.publisher.institutionComputer Engineering, K J Somaiya College of Engineering
dc.date.registered2021
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions30*21
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Engineering, K J Somaiya College of Engineering

Files in This Item:
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01_title.pdfAttached File79.63 kBAdobe PDFView/Open
02_prelim pages.pdf215.97 kBAdobe PDFView/Open
03_content.pdf19.66 kBAdobe PDFView/Open
04_abstract.pdf10.02 kBAdobe PDFView/Open
05_chapter 1.pdf2.41 MBAdobe PDFView/Open
06_chapter 2.pdf3.52 MBAdobe PDFView/Open
07_chapter 3.pdf2.1 MBAdobe PDFView/Open
08_chapter 4.pdf3.49 MBAdobe PDFView/Open
09_chapter 5.pdf12.8 MBAdobe PDFView/Open
10_chapter 6.pdf1.43 MBAdobe PDFView/Open
11_chapter 7.pdf4.78 MBAdobe PDFView/Open
12_chapter 8.pdf1.71 MBAdobe PDFView/Open
13_chapter 9.pdf13.59 MBAdobe PDFView/Open
14_chapter 10.pdf256.35 kBAdobe PDFView/Open
15_annexures.pdf4.17 MBAdobe PDFView/Open
80_recommendation.pdf335.29 kBAdobe PDFView/Open
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