Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/171828
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DC FieldValueLanguage
dc.coverage.spatialComputer science and engineering
dc.date.accessioned2017-09-14T11:56:51Z-
dc.date.available2017-09-14T11:56:51Z-
dc.identifier.urihttp://hdl.handle.net/10603/171828-
dc.description.abstractAbstract available
dc.format.extentn.d.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleArtificial neural network model for detecting early brain tumor implementing blind source separation techniques
dc.title.alternative-
dc.creator.researcherVijay Kumar, G
dc.subject.keywordArtificial neural
dc.subject.keywordBrain
dc.subject.keywordTechniques
dc.description.noteAppendix given
dc.contributor.guideRaju, G V
dc.publisher.placeKanchipuram
dc.publisher.universitySri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registeredn.d.
dc.date.completed2012
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File32.14 kBAdobe PDFView/Open
02_certificate.pdf35.54 kBAdobe PDFView/Open
03_acknowledgement.pdf7.86 kBAdobe PDFView/Open
04_abstract.pdf4.44 kBAdobe PDFView/Open
05_table of contents.pdf46.06 kBAdobe PDFView/Open
06_abbreviations.pdf40.86 kBAdobe PDFView/Open
07_chapter 1.pdf203.62 kBAdobe PDFView/Open
08_chapter 2.pdf75.93 kBAdobe PDFView/Open
09_chapter 3.pdf499.93 kBAdobe PDFView/Open
10_chapter 4.pdf1.68 MBAdobe PDFView/Open
11_chapter 5.pdf3.61 MBAdobe PDFView/Open
12_chapter 6.pdf987.97 kBAdobe PDFView/Open
13_chapter 7.pdf1.61 MBAdobe PDFView/Open
14_chapter 8.pdf94.65 kBAdobe PDFView/Open
15_appendix.pdf72.41 kBAdobe PDFView/Open


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