Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/549124
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dc.date.accessioned2024-03-05T07:14:42Z-
dc.date.available2024-03-05T07:14:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/549124-
dc.description.abstractAvailable-
dc.languageEnglish-
dc.rightsuniversity-
dc.titlePerformance enhancement of Non-Invasive disease detection using machine learning and signal processing tools-
dc.creator.researcherJha, Manika-
dc.subject.keywordEarly disease detection,-
dc.subject.keywordElectronics and Communication Engineering-
dc.subject.keywordEngineering-
dc.subject.keywordEngineering and Technology-
dc.subject.keywordEngineering Multidisciplinary-
dc.subject.keywordFeature extraction-
dc.subject.keywordGenomic signal processing-
dc.subject.keywordImage classification-
dc.subject.keywordMachine learning-
dc.subject.keywordNon-invasive disease detection-
dc.contributor.guideGupta, Richa and Saxena, Rajiv-
dc.publisher.placeNoida-
dc.publisher.universityJaypee Institute of Information Technology-
dc.publisher.institutionDepartment of Electronics and Communication Engineering-
dc.date.registered2019-
dc.date.completed2024-
dc.date.awarded2024-
dc.format.dimensionsxxiii, 174p., 22-Synopsis-
dc.format.accompanyingmaterialDVD-
dc.source.universityUniversity-
dc.type.degreePh.D.-
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
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01_title.pdfAttached File280.14 kBAdobe PDFView/Open
02_prelim pages.pdf314.54 kBAdobe PDFView/Open
03_table of contents.pdf182.05 kBAdobe PDFView/Open
04_abstract.pdf212.14 kBAdobe PDFView/Open
05_chapter1.pdf677.98 kBAdobe PDFView/Open
06_chapter2.pdf463.51 kBAdobe PDFView/Open
07_chapter3.pdf663.48 kBAdobe PDFView/Open
08_chapter4.pdf751.28 kBAdobe PDFView/Open
09_chapter5.pdf1.36 MBAdobe PDFView/Open
10_references.pdf389.74 kBAdobe PDFView/Open
11_annexures.pdf556.04 kBAdobe PDFView/Open
12_list of publications.pdf195.99 kBAdobe PDFView/Open
13_synopsis.pdf438.04 kBAdobe PDFView/Open
80_recommendation.pdf327.24 kBAdobe PDFView/Open


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