Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/506475
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dc.date.accessioned2023-08-10T08:54:42Z-
dc.date.available2023-08-10T08:54:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/506475-
dc.description.abstractincluded newline-
dc.format.extentxxi, 152p.-
dc.languageEnglish-
dc.rightsuniversity-
dc.titlePower analysis and estimation of IP core based systems for FPGAs using machine learning techniques-
dc.creator.researcherSingh, Neerja-
dc.subject.keywordClock Enable,-
dc.subject.keywordEngineering-
dc.subject.keywordEngineering and Technology-
dc.subject.keywordEngineering Electrical and Electronic-
dc.subject.keywordField Programmable Gate Arrays,-
dc.subject.keywordIntellectual Property,-
dc.subject.keywordLook-up-Tables, Flip-Flops-
dc.subject.keywordPower Estimation,-
dc.subject.keywordRTL,-
dc.contributor.guideKhare, Vijay and Verma, Gaurav-
dc.publisher.placeNoida-
dc.publisher.universityJaypee Institute of Information Technology-
dc.publisher.institutionDepartment of Electronics and Communication Engineering-
dc.date.registered2018-
dc.date.completed2023-
dc.date.awarded2023-
dc.format.accompanyingmaterialNone-
dc.source.universityUniversity-
dc.type.degreePh.D.-
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File172.47 kBAdobe PDFView/Open
02_prelim pages.pdf162.47 kBAdobe PDFView/Open
03_table of contents.pdf124.74 kBAdobe PDFView/Open
04_abstract.pdf82.22 kBAdobe PDFView/Open
05_chapter1.pdf427.46 kBAdobe PDFView/Open
06_chapter2.pdf399.96 kBAdobe PDFView/Open
07_chapter3.pdf651.95 kBAdobe PDFView/Open
08_chapter4.pdf665.1 kBAdobe PDFView/Open
09_chapter5.pdf1.4 MBAdobe PDFView/Open
10_chapter6.pdf507.96 kBAdobe PDFView/Open
11_annexures.pdf251.73 kBAdobe PDFView/Open
12_list of publications.pdf233.38 kBAdobe PDFView/Open
13_references.pdf236.8 kBAdobe PDFView/Open
14_synopsis.pdf253.58 kBAdobe PDFView/Open
80_recommendation.pdf208.09 kBAdobe PDFView/Open


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