Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/421748
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dc.coverage.spatialAmar Nath and Shashi Khosla School of Information Technology
dc.date.accessioned2022-12-06T04:56:25Z-
dc.date.available2022-12-06T04:56:25Z-
dc.identifier.urihttp://hdl.handle.net/10603/421748-
dc.description.abstractAbstract Available
dc.format.extent
dc.languageEnglish
dc.relationTH-6563
dc.rightsuniversity
dc.titleComputer vision based deep learning to predict precursor mirna in human genome
dc.title.alternativeNa
dc.creator.researcherSinghal, Ankit
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guidePrasad, Sanjiva and Maheshwari, S.N.
dc.publisher.placeDelhi
dc.publisher.universityIndian Institute of Technology Delhi
dc.publisher.institutionAmar Nath and Shashi Khosla School of Information Technology
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Amar Nath and Shashi Khosla School of Information Technology

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01_title.pdfAttached File80.59 kBAdobe PDFView/Open
02_prelim pages.pdf2.93 MBAdobe PDFView/Open
03_content.pdf325.6 kBAdobe PDFView/Open
04_abstract.pdf701.46 kBAdobe PDFView/Open
05_chapter 1.pdf5.6 MBAdobe PDFView/Open
06_chapter 2.pdf5.05 MBAdobe PDFView/Open
07_chapter 3.pdf5.07 MBAdobe PDFView/Open
08_chapter 4.pdf3.41 MBAdobe PDFView/Open
09_chapter 5.pdf2.1 MBAdobe PDFView/Open
10_chapter 6.pdf6.07 MBAdobe PDFView/Open
11_chapter 7.pdf415.12 kBAdobe PDFView/Open
12_annexures.pdf5.08 MBAdobe PDFView/Open
80_recommendation.pdf454.31 kBAdobe PDFView/Open


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