Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/473000
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dc.coverage.spatial
dc.date.accessioned2023-03-28T08:33:50Z-
dc.date.available2023-03-28T08:33:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/473000-
dc.description.abstractnewline
dc.format.extent113 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Novel Surveillance Approach for Prediction of Dengue Incidences based on Climate Parameters for Different Vulnerable Groups
dc.title.alternative
dc.creator.researcherPatil, Seema Harshad
dc.subject.keywordClimate Change
dc.subject.keywordDengue Incidances
dc.subject.keywordDisease Prediction
dc.subject.keywordEcology and Environment
dc.subject.keywordEnvironmental Sciences
dc.subject.keywordLife Sciences
dc.subject.keywordMachine Learning
dc.subject.keywordVulnerable Groups
dc.description.note
dc.contributor.guidePandya, Sharnil
dc.publisher.placePune
dc.publisher.universitySymbiosis International University
dc.publisher.institutionFaculty of Engineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File136.08 kBAdobe PDFView/Open
02_prelim pages.pdf566.92 kBAdobe PDFView/Open
03_chapter 1..pdf621.62 kBAdobe PDFView/Open
04_chapter 2..pdf848.39 kBAdobe PDFView/Open
05_chapter 3..pdf1.74 MBAdobe PDFView/Open
06_chapter 4..pdf1.03 MBAdobe PDFView/Open
07_chapter 5..pdf3.65 MBAdobe PDFView/Open
08_chapter 6..pdf276.06 kBAdobe PDFView/Open
10_annexure..pdf1.64 MBAdobe PDFView/Open
80_recommendation.pdf449.8 kBAdobe PDFView/Open


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