Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/509385
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dc.coverage.spatial
dc.date.accessioned2023-08-29T05:39:40Z-
dc.date.available2023-08-29T05:39:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/509385-
dc.description.abstractFile attached newline
dc.format.extentxvi, 160p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of tool monitoring system based on image processing to predict life of cutting tool
dc.title.alternative
dc.creator.researcherAmbadekar, Prashant K
dc.subject.keywordConvolutional neural networks
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.subject.keywordGray Level Cooccurrence Matrix (GLCM)
dc.subject.keywordImage processing
dc.subject.keywordTool condition monitoring (TCM)
dc.description.noteLocation - Knowledge Resource Centre, Kalina
dc.contributor.guideChoudhari, C M
dc.publisher.placeMumbai
dc.publisher.universityUniversity of Mumbai
dc.publisher.institutionMechanical Engineering Fr Conceicao Rodrigues Institute of Technology
dc.date.registered2017
dc.date.completed2021
dc.date.awarded2023
dc.format.dimensions30*21
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Mechanical Engineering Fr Conceicao Rodrigues Institute of Technology

Files in This Item:
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01_title.pdfAttached File26.06 kBAdobe PDFView/Open
02_prelim pages.pdf192.28 kBAdobe PDFView/Open
03_contents.pdf36.02 kBAdobe PDFView/Open
04_abstract.pdf27.17 kBAdobe PDFView/Open
05_chapter 1.pdf310.34 kBAdobe PDFView/Open
06_chapter 2.pdf867.34 kBAdobe PDFView/Open
07_chapter 3.pdf378.74 kBAdobe PDFView/Open
08_chapter 4.pdf308.45 kBAdobe PDFView/Open
09_chapter 5.pdf956.29 kBAdobe PDFView/Open
10_chapter 6.pdf128.87 kBAdobe PDFView/Open
11_annexures.pdf6.38 MBAdobe PDFView/Open
80_recommendation.pdf154.4 kBAdobe PDFView/Open


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