Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/600852
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dc.coverage.spatial
dc.date.accessioned2024-11-12T11:42:37Z-
dc.date.available2024-11-12T11:42:37Z-
dc.identifier.urihttp://hdl.handle.net/10603/600852-
dc.format.extent3.7MB
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleRapid Epidemic Diseases Outbreak Prediction and Risk Assessment Using Machine Learning Techniques
dc.title.alternative
dc.creator.researcherSugala, Ravi Kumar
dc.subject.keyword
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordDengue
dc.subject.keywordEngineering and Technology
dc.subject.keywordEpidemics
dc.subject.keywordMachine learning
dc.description.note
dc.contributor.guideSwain, Sangram Keshari and M. Vamsi Krishna
dc.publisher.placeGajapati
dc.publisher.universityCenturion University of Technology and Management
dc.publisher.institutionComputer Sc. and Enggineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Sc. and Enggineering

Files in This Item:
File Description SizeFormat 
01. title.pdfAttached File81.85 kBAdobe PDFView/Open
02. preliminary pages.pdf621.27 kBAdobe PDFView/Open
03. table of contents.pdf130.22 kBAdobe PDFView/Open
04. abstract.pdf31.87 kBAdobe PDFView/Open
05. chapter 1.pdf153.05 kBAdobe PDFView/Open
06. chapter 2.pdf87.58 kBAdobe PDFView/Open
07. chapter 3.pdf352.21 kBAdobe PDFView/Open
08. chapter 4.pdf1.11 MBAdobe PDFView/Open
09. chapter 5.pdf685.7 kBAdobe PDFView/Open
10. chapter 6.pdf559.58 kBAdobe PDFView/Open
11. chapter 7.pdf314.33 kBAdobe PDFView/Open
12. chapter 8.pdf745.58 kBAdobe PDFView/Open
80_recommendation.pdf112.39 kBAdobe PDFView/Open
annexure.pdf230.96 kBAdobe PDFView/Open
conclusion and future work.pdf31.58 kBAdobe PDFView/Open


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