Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/601390
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DC FieldValueLanguage
dc.coverage.spatialEngineering
dc.date.accessioned2024-11-18T07:07:34Z-
dc.date.available2024-11-18T07:07:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/601390-
dc.description.abstractAbstract Included
dc.format.extentxiii, 109p
dc.languageEnglish
dc.relationNo.of Citation 124
dc.rightsuniversity
dc.titleDesign and Development of a Clinical Decision Support System for the Diagnosis of Parkinsons Disease using Artificial Intelligence
dc.title.alternative
dc.creator.researcherSaravanan, S
dc.subject.keyword
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Multidisciplinary
dc.subject.keywordExplainable artificial intelligence
dc.subject.keywordGait Signals
dc.subject.keywordMachine Learning
dc.subject.keywordPET, GAN, Pre-trained models
dc.subject.keywordRNN, LSTM, GRU
dc.description.noteReferences p.92-105, Appendix p.106-109
dc.contributor.guideRamkumar, K
dc.publisher.placeThanjavur
dc.publisher.universitySASTRA University
dc.publisher.institutionSchool of Electrical and Electronics Engineering
dc.date.registered2018
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions30 cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Electrical and Electronics Engineering

Files in This Item:
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01_title.pdfAttached File31.49 kBAdobe PDFView/Open
02_prelims.pdf100.92 kBAdobe PDFView/Open
03_the table of contents.pdf46.28 kBAdobe PDFView/Open
04_abstract.pdf442.73 kBAdobe PDFView/Open
05_chapter_01.pdf445.75 kBAdobe PDFView/Open
06_chapter_02.pdf60.83 kBAdobe PDFView/Open
07_chapter_03.pdf633.12 kBAdobe PDFView/Open
08_chapter_04.pdf536.44 kBAdobe PDFView/Open
09_chapter_05.pdf340.67 kBAdobe PDFView/Open
10_annexure.pdf74.9 kBAdobe PDFView/Open
80_recommendation.pdf27.03 kBAdobe PDFView/Open


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