Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/326590
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DC FieldValueLanguage
dc.coverage.spatialEngineering
dc.date.accessioned2021-05-17T08:35:10Z-
dc.date.available2021-05-17T08:35:10Z-
dc.identifier.urihttp://hdl.handle.net/10603/326590-
dc.description.abstractfile attached
dc.format.extent95 p.
dc.languageEnglish
dc.relationno. of references 113
dc.rightsuniversity
dc.titleOptimization of machine learning and deep learning algorithms for diagnosis of cancer
dc.title.alternative-
dc.creator.researcherJijja, Alpana
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordInstruments and Instrumentation
dc.subject.keywordCancer treatment equipment industry
dc.subject.keywordCancer--Treatment
dc.subject.keywordMachine learning
dc.subject.keywordArtificial intelligence
dc.description.notereferences given
dc.contributor.guideRai, Dinesh
dc.publisher.placeGurgaon
dc.publisher.universitySushant University (earlier Ansal University)
dc.publisher.institutionSchool of Engineering and Technology
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:School of Engineering and Technology

Files in This Item:
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01_title.pdfAttached File186.89 kBAdobe PDFView/Open
02_declaration.pdf183.08 kBAdobe PDFView/Open
03_certificate.pdf292.5 kBAdobe PDFView/Open
04_dedication.pdf180.29 kBAdobe PDFView/Open
05_acknowledgement.pdf185.22 kBAdobe PDFView/Open
06_abstract.pdf298.54 kBAdobe PDFView/Open
07_content.pdf356.7 kBAdobe PDFView/Open
08_chapter 1.pdf407.74 kBAdobe PDFView/Open
09_chapter 2.pdf447.27 kBAdobe PDFView/Open
10_chapter 3.pdf603.9 kBAdobe PDFView/Open
11_chapter 4.pdf1.2 MBAdobe PDFView/Open
12_chapter 5.pdf1.02 MBAdobe PDFView/Open
13_references.pdf352.97 kBAdobe PDFView/Open
80_recommendation.pdf485.06 kBAdobe PDFView/Open


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