Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/537416
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dc.coverage.spatial
dc.date.accessioned2024-01-04T11:59:36Z-
dc.date.available2024-01-04T11:59:36Z-
dc.identifier.urihttp://hdl.handle.net/10603/537416-
dc.description.abstractFile Attached
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEarly diagnosis of alzheimer s disease deep Learning framework with modified invasive Weed optimization algorithm
dc.title.alternative
dc.creator.researcherDeepa Rani, Gopagoni
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideLakshmi, P V
dc.publisher.placeVisakhapatnam
dc.publisher.universityGITAM University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File77.68 kBAdobe PDFView/Open
02_prelim pages.pdf322.33 kBAdobe PDFView/Open
03_contents.pdf102.53 kBAdobe PDFView/Open
04_abstract.pdf87.7 kBAdobe PDFView/Open
05_chapter 1.pdf427.92 kBAdobe PDFView/Open
06_chapter 2.pdf416.53 kBAdobe PDFView/Open
07_chapter 3.pdf602.46 kBAdobe PDFView/Open
08_chapter 4.pdf606.62 kBAdobe PDFView/Open
09_chapter 5.pdf475.22 kBAdobe PDFView/Open
10_chapter 6.pdf109.94 kBAdobe PDFView/Open
11_annexures.pdf717.21 kBAdobe PDFView/Open
80_recommendation.pdf187.79 kBAdobe PDFView/Open


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