Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/582942
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dc.coverage.spatial
dc.date.accessioned2024-08-16T06:35:19Z-
dc.date.available2024-08-16T06:35:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/582942-
dc.description.abstractnewline A Sophisticated Ensemble Sunflower Optimization And Multi Algorithmic Approaches For Diabetes Prediction
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Sophisticated Ensemble Sunflower Optimization And Multi Algorithmic Approaches For Diabetes Prediction
dc.title.alternative
dc.creator.researcherKanmani K
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideA. Murugan
dc.publisher.placeChennai
dc.publisher.universityUniversity of Madras
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2023
dc.date.awarded2024
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 File72.89 kBAdobe PDFView/Open
02_prelimpages.pdf2.09 MBAdobe PDFView/Open
03_content.pdf194.85 kBAdobe PDFView/Open
04_abstract.pdf175.48 kBAdobe PDFView/Open
05_chapter_1.pdf1.49 MBAdobe PDFView/Open
06_chapter_2.pdf310.72 kBAdobe PDFView/Open
07_chapter_3.pdf404.91 kBAdobe PDFView/Open
08_chapter_4.pdf501.79 kBAdobe PDFView/Open
09_chapter_5.pdf347.07 kBAdobe PDFView/Open
10_chapter_6.pdf363.46 kBAdobe PDFView/Open
11_chapter_7.pdf525.79 kBAdobe PDFView/Open
12_chapter_8.pdf118.8 kBAdobe PDFView/Open
80_recommendation.pdf170.36 kBAdobe PDFView/Open
annexure.pdf247.69 kBAdobe PDFView/Open


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