Logo
  1. IR@JU
  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2023 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/5310
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMudi, Rajanikanta-
dc.contributor.advisorChandra, Abhijit-
dc.contributor.authorGhosh, Sukanta-
dc.date.accessioned2024-03-21T07:26:46Z-
dc.date.available2024-03-21T07:26:46Z-
dc.date.issued2022-
dc.date.submitted2023-
dc.identifier.otherTC3687-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/5310-
dc.format.extent[xix], 139 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur university, Kolkata, West Bengalen_US
dc.subjectAlzheimer's Ddiseaseen_US
dc.subjectFuzzy logicen_US
dc.titleEarly detection of Alzheimer's disease - a fuzzy logic based approachen_US
dc.typeTexten_US
dc.departmentJadavpur University. Department of Instrumentation and Electronics Engineeringen_US
Appears in Collections:2023 (Awarded Year)

Files in This Item:
File Description SizeFormat 
Abstract.pdf327.9 kBAdobe PDFView/Open
PhD Thesis(IEE)Sukanta Ghosh.pdf12.83 MBAdobe PDFView/Open
Show simple item record


Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.