Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/181119
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DC FieldValueLanguage
dc.coverage.spatialInformation and Communication Engineering
dc.date.accessioned2017-11-16T05:55:50Z-
dc.date.available2017-11-16T05:55:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/181119-
dc.description.abstractAbstract available
dc.format.extentclxii, 151p.
dc.languageEnglish US
dc.relation139-150
dc.rightsuniversity
dc.titleMachine learning models for assessing video quality of experience in error prone environment
dc.title.alternative
dc.creator.researcherM, Arun Kumar P
dc.subject.keywordAssessing
dc.subject.keywordEnvironment
dc.subject.keywordLearning
dc.subject.keywordMachine
dc.subject.keywordQuality
dc.description.noteData not available
dc.contributor.guideS, Chandramathi
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2016
dc.date.awardedn.d.
dc.format.dimensions30cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File9.92 kBAdobe PDFView/Open
02_certificate.pdf2.99 MBAdobe PDFView/Open
03_abstract.pdf122.45 kBAdobe PDFView/Open
04_acknowledgement.pdf4.75 kBAdobe PDFView/Open
05_table of content.pdf585.12 kBAdobe PDFView/Open
06_list of symbols and abbreviations.pdf333.9 kBAdobe PDFView/Open
07_chapter 1.pdf527.16 kBAdobe PDFView/Open
08_chapter 2.pdf1.29 MBAdobe PDFView/Open
09_chapter 3.pdf1.8 MBAdobe PDFView/Open
10_chapter 4.pdf1.24 MBAdobe PDFView/Open
11_chapter 5.pdf1.01 MBAdobe PDFView/Open
12_chapter 6.pdf1.37 MBAdobe PDFView/Open
13_chapter 7.pdf171.79 kBAdobe PDFView/Open
14_references.pdf754.35 kBAdobe PDFView/Open
15_list of publication.pdf62.42 kBAdobe PDFView/Open


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