Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/337716
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dc.coverage.spatialComputer Science
dc.date.accessioned2021-08-26T03:55:53Z-
dc.date.available2021-08-26T03:55:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/337716-
dc.description.abstractnewline none
dc.format.extent
dc.languageEnglish
dc.relationxv,205
dc.rightsuniversity
dc.titlePerformance analysis of prediction methods for avalanche hazards
dc.title.alternative
dc.creator.researcherKushe, Neha Ajit
dc.subject.keywordBahang village of Himachal Pradesh
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.subject.keywordforecasting
dc.subject.keywordhazard mitigation
dc.subject.keywordNNED
dc.subject.keywordsnow avalanches
dc.description.note
dc.contributor.guideMagar, Ganesh
dc.publisher.placeMumbai
dc.publisher.universitySNDT Womens University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2015
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File63.74 kBAdobe PDFView/Open
02_dedication.pdf16.45 kBAdobe PDFView/Open
03_undertaking.pdf41.43 kBAdobe PDFView/Open
04_certificate.pdf61.09 kBAdobe PDFView/Open
05_acknowledgements.pdf285.33 kBAdobe PDFView/Open
06_abstract.pdf315.81 kBAdobe PDFView/Open
07_contents.pdf558.01 kBAdobe PDFView/Open
08_list_of_figures.pdf245.03 kBAdobe PDFView/Open
09_list_of_tables.pdf822.85 kBAdobe PDFView/Open
10_chapter1.pdf5.13 MBAdobe PDFView/Open
11_chapter2.pdf5.26 MBAdobe PDFView/Open
12_chapter3.pdf3.22 MBAdobe PDFView/Open
13_chapter4.pdf5.63 MBAdobe PDFView/Open
14_chapter5.pdf4.79 MBAdobe PDFView/Open
15_chapter6.pdf8.1 MBAdobe PDFView/Open
16_chapter7.pdf698.57 kBAdobe PDFView/Open
17_references.pdf6.23 MBAdobe PDFView/Open
18_list_of_publications.pdf415.35 kBAdobe PDFView/Open
19_publications.pdf6.65 MBAdobe PDFView/Open
20_plagiarism report.pdf405.75 kBAdobe PDFView/Open
80_recommendation.pdf761.08 kBAdobe PDFView/Open


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