1. Shodhganga@INFLIBNET
  2. Jadavpur University
  3. Department of Instrumentation and Electronics Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/537949
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DC FieldValueLanguage
dc.date.accessioned2024-01-08T08:29:02Z-
dc.date.available2024-01-08T08:29:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/537949-
dc.description.abstractnewline-
dc.format.extent[xix], 139 p.-
dc.languageEnglish-
dc.rightsuniversity-
dc.titleEarly detection of Alzheimers disease _ a fuzzy logic based approach-
dc.creator.researcherGhosh, Sukanta-
dc.subject.keywordFuzzy logic-
dc.contributor.guideMudi, Rajanikanta and Chandra, Abhijit-
dc.publisher.placeKolkata-
dc.publisher.universityJadavpur University-
dc.publisher.institutionDepartment of Instrumentation and Electronics Engineering-
dc.date.completed2022-
dc.date.awarded2023-
dc.format.accompanyingmaterialNone-
dc.source.universityUniversity-
dc.type.degreePh.D.-
Appears in Departments:Department of Instrumentation and Electronics Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File11.35 kBAdobe PDFView/Open
02_prelim pages.pdf764.81 kBAdobe PDFView/Open
03_abstract.pdf327.9 kBAdobe PDFView/Open
04_chapter 1.pdf278.45 kBAdobe PDFView/Open
05_chapter 2.pdf440 kBAdobe PDFView/Open
06_chapter 3.pdf2.83 MBAdobe PDFView/Open
07_chapter 4.pdf2.12 MBAdobe PDFView/Open
08_chapter 5.pdf3.42 MBAdobe PDFView/Open
09_chapter 6.pdf1.86 MBAdobe PDFView/Open
10_chapter 7.pdf157.91 kBAdobe PDFView/Open
80_recommendation.pdf11.35 kBAdobe PDFView/Open
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