1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/522108
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dc.coverage.spatialInvestigations on effective classification of alzheimer disease using cuckoo search based wavelet filter bank selection algorithm with cuckoo search adaboost classifier
dc.date.accessioned2023-10-31T11:35:19Z-
dc.date.available2023-10-31T11:35:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/522108-
dc.format.extentxviii,151p.
dc.languageEnglish
dc.relationp.140-150.
dc.rightsuniversity
dc.titleInvestigations on effective classification of alzheimer disease using cuckoo search based wavelet filter bank selection algorithm with cuckoo search adaboost classifier
dc.title.alternative
dc.creator.researcherRevathi, M
dc.subject.keywordAlzheimer s disease
dc.subject.keywordCuckoo
dc.subject.keywordInformation And Communication Engineering
dc.description.note
dc.contributor.guideSingaravel,G
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File25.46 kBAdobe PDFView/Open
02_prelim_pages.pdf1.35 MBAdobe PDFView/Open
03_content.pdf247.42 kBAdobe PDFView/Open
04_abstract.pdf84.74 kBAdobe PDFView/Open
05_chapter 1.pdf403.97 kBAdobe PDFView/Open
06_chapter 2.pdf308.55 kBAdobe PDFView/Open
07_chapter 3.pdf945.29 kBAdobe PDFView/Open
08_chapter 4.pdf888.05 kBAdobe PDFView/Open
09_chapter 5.pdf514.18 kBAdobe PDFView/Open
10_annexures.pdf272.61 kBAdobe PDFView/Open
80_recommendation.pdf159.33 kBAdobe PDFView/Open
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