Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/517535
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dc.coverage.spatial
dc.date.accessioned2023-10-12T05:14:41Z-
dc.date.available2023-10-12T05:14:41Z-
dc.identifier.urihttp://hdl.handle.net/10603/517535-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleIdentifying Alzheimer Disease Using Proposed ELRFXG Booster and ELCR Machine Learning Algorithms
dc.title.alternative
dc.creator.researcherBharathi A
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideArunachalam A S
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2019
dc.date.completed2022
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:
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01. title.pdfAttached File54.04 kBAdobe PDFView/Open
02_prelim pages.pdf245.05 kBAdobe PDFView/Open
03_content.pdf22.23 kBAdobe PDFView/Open
04_abstract.pdf9.82 kBAdobe PDFView/Open
05_chapter 1.pdf1.08 MBAdobe PDFView/Open
06_chapter - 2.pdf324.05 kBAdobe PDFView/Open
07_ chapter - 3.pdf389.55 kBAdobe PDFView/Open
08_ chapter - 4.pdf788.77 kBAdobe PDFView/Open
09_ chapter - 5.pdf473.57 kBAdobe PDFView/Open
10_annexures.pdf3.3 MBAdobe PDFView/Open
11_chapter - 6.pdf853.36 kBAdobe PDFView/Open
80_recommendation.pdf12.32 kBAdobe PDFView/Open


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