1. Shodhganga@INFLIBNET
  2. Vels University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/512834
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-09-20T09:12:22Z-
dc.date.available2023-09-20T09:12:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/512834-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Early Detection of Nipah Infectious Disease Based on Integrated Medical Features for Human Using Esemble RBM Techniques
dc.title.alternative
dc.creator.researcherKannan M
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Cybernetics
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guidePriya C
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File393.91 kBAdobe PDFView/Open
02_prelim pages.pdf5.4 MBAdobe PDFView/Open
03_content.pdf164.69 kBAdobe PDFView/Open
04_abstract.pdf133.15 kBAdobe PDFView/Open
05_chapter 1.pdf900.01 kBAdobe PDFView/Open
06_chapter 2.pdf338.01 kBAdobe PDFView/Open
07_chapter 3.pdf570.32 kBAdobe PDFView/Open
07_chapter 4.pdf781.38 kBAdobe PDFView/Open
08_chapter 5.pdf551.76 kBAdobe PDFView/Open
09_chapter 6.pdf1.38 MBAdobe PDFView/Open
10_annexures.pdf4.02 MBAdobe PDFView/Open
80_recommendation.pdf133.02 kBAdobe PDFView/Open
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