1. Shodhganga@INFLIBNET
  2. Vellore Institute of Technology, Vellore
  3. School of Electronic Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/529293
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-12-14T12:20:21Z-
dc.date.available2023-12-14T12:20:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/529293-
dc.description.abstractnewline
dc.format.extent1-135
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleGait Variability Assessment for Parkinsons Disease Diagnosis and Severity Prediction Using Machine and Deep Learning Models
dc.title.alternative
dc.creator.researcherVidya B
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideSasikumar P
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology, Vellore
dc.publisher.institutionSchool of Electronic Engineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Electronic Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File94.13 kBAdobe PDFView/Open
02_preliminary pages.pdf1.11 MBAdobe PDFView/Open
03_table of content.pdf149.03 kBAdobe PDFView/Open
04_abstract.pdf283.48 kBAdobe PDFView/Open
05_chapter 1.pdf349.13 kBAdobe PDFView/Open
06_chapter 2.pdf689.04 kBAdobe PDFView/Open
07_chapter 3.pdf1.52 MBAdobe PDFView/Open
08_chapter 4.pdf2.44 MBAdobe PDFView/Open
09_chapter 5.pdf3.03 MBAdobe PDFView/Open
10_chapter 6.pdf2.63 MBAdobe PDFView/Open
11_chapter 7.pdf153.24 kBAdobe PDFView/Open
12_annexure.pdf1.09 MBAdobe PDFView/Open
80_recommendation.pdf245.79 kBAdobe PDFView/Open
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