Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/532923
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-12-22T12:37:37Z-
dc.date.available2023-12-22T12:37:37Z-
dc.identifier.urihttp://hdl.handle.net/10603/532923-
dc.description.abstractFile attached newline
dc.format.extentxxii, 159p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleModelling urban sprawl using geospatial techniques a case study of Mumbai Metropolitan Region MMR
dc.title.alternative
dc.creator.researcherBhosale, Varsha Vithal
dc.subject.keywordArtificial Neural Network (ANN)
dc.subject.keywordComputer Science
dc.subject.keywordConvolution Neural Networks (CNN)
dc.subject.keywordEngineering and Technology
dc.subject.keywordLand use land cover
dc.subject.keywordMachine learning
dc.subject.keywordMaximum likelihood classifier
dc.subject.keywordMultilayer Perceptron (MLP)
dc.description.noteLocation - Knowledge Resource Centre, Kalina
dc.contributor.guidePatankar, Archana B
dc.publisher.placeMumbai
dc.publisher.universityUniversity of Mumbai
dc.publisher.institutionComputer Engineering, Vidyalankar Institute of Technology
dc.date.registered2019
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, Vidyalankar Institute of Technology

Files in This Item:
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01_title.pdfAttached File83.16 kBAdobe PDFView/Open
02_prelim pages.pdf392.8 kBAdobe PDFView/Open
03_contents.pdf114.1 kBAdobe PDFView/Open
04_abstract.pdf89.86 kBAdobe PDFView/Open
05_chapter 1.pdf196.43 kBAdobe PDFView/Open
06_chapter 2.pdf666.56 kBAdobe PDFView/Open
07_chapter 3.pdf3.03 MBAdobe PDFView/Open
08_chapter 4.pdf954.21 kBAdobe PDFView/Open
09_chapter 5.pdf17.26 kBAdobe PDFView/Open
10_annexures.pdf158.31 kBAdobe PDFView/Open
80_recommendation.pdf98.87 kBAdobe PDFView/Open


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