Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/408920
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-10-03T05:44:24Z-
dc.date.available2022-10-03T05:44:24Z-
dc.identifier.urihttp://hdl.handle.net/10603/408920-
dc.description.abstractnewline
dc.format.extent1-138
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of Neural Network Based Image Processing Techniques for Automated Inspection of Leather Defects
dc.title.alternative
dc.creator.researcherPraveen Kumar M
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.description.note
dc.contributor.guideDenis Ashok S
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology (VIT) University
dc.publisher.institutionSchool of Mechanical Engineering
dc.date.registered2016
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Mechanical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File69.96 kBAdobe PDFView/Open
02_declaration and certificate.pdf189.4 kBAdobe PDFView/Open
03_abstract.pdf71.92 kBAdobe PDFView/Open
04_acknowledgement.pdf148.79 kBAdobe PDFView/Open
05_table of contents.pdf108.63 kBAdobe PDFView/Open
06_list of figures.pdf102.83 kBAdobe PDFView/Open
07_list of tables.pdf91.03 kBAdobe PDFView/Open
08_list of terms and abbreviations.pdf94.26 kBAdobe PDFView/Open
09_chapter 1.pdf543.5 kBAdobe PDFView/Open
10_chapter 2.pdf431.55 kBAdobe PDFView/Open
11_chapter 3.pdf674.82 kBAdobe PDFView/Open
12_chapter 4.pdf1.38 MBAdobe PDFView/Open
13_chapter 5.pdf4.53 MBAdobe PDFView/Open
14_chapter 6.pdf966.02 kBAdobe PDFView/Open
15_chapter 7.pdf1.08 MBAdobe PDFView/Open
16_chapter 8.pdf589.15 kBAdobe PDFView/Open
17_future scope.pdf69.2 kBAdobe PDFView/Open
18_references.pdf161.61 kBAdobe PDFView/Open
19_ list of publications.pdf96.97 kBAdobe PDFView/Open
80_recommendation.pdf849.67 kBAdobe PDFView/Open


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