Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/569106
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dc.coverage.spatialAn artificial intelligence based smart health monitoring system for biological cognitive detection by non traditional method
dc.date.accessioned2024-06-04T10:54:27Z-
dc.date.available2024-06-04T10:54:27Z-
dc.identifier.urihttp://hdl.handle.net/10603/569106-
dc.format.extentxviii,140p.
dc.languageEnglish
dc.relationP.118-139
dc.rightsuniversity
dc.titleAn artificial intelligence based smart health monitoring system for biological cognitive detection by non traditional method
dc.title.alternative
dc.creator.researcherBabu, M
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Biomedical
dc.subject.keywordnovel framework
dc.subject.keywordResearchers and medical professionals
dc.subject.keywordupgraded biosensor
dc.description.note
dc.contributor.guideJesudas, T
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Mechanical Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21 inches
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Mechanical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File162.73 kBAdobe PDFView/Open
02_prelim pages.pdf1.53 MBAdobe PDFView/Open
03_content.pdf141.64 kBAdobe PDFView/Open
04_abstract.pdf163.75 kBAdobe PDFView/Open
05_chapter1.pdf755.91 kBAdobe PDFView/Open
06_chapter2.pdf206.27 kBAdobe PDFView/Open
07_chapter3.pdf305.7 kBAdobe PDFView/Open
08_chapter4.pdf671.08 kBAdobe PDFView/Open
09_chapter5.pdf1.08 MBAdobe PDFView/Open
10_annexures.pdf215.56 kBAdobe PDFView/Open
80_recommendation.pdf106.44 kBAdobe PDFView/Open


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