1. Shodhganga@INFLIBNET
  2. Periyar University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/235467
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2019-03-27T08:40:45Z-
dc.date.available2019-03-27T08:40:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/235467-
dc.description.abstractnewline
dc.format.extent113p
dc.languageEnglish
dc.relation125
dc.rightsuniversity
dc.titleAn intelligent diagnostic system for gastric carcinoma using breathomics
dc.title.alternative
dc.creator.researcherArul Pon Daniel D
dc.subject.keywordBreathomics
dc.subject.keywordDiagnostic
dc.subject.keywordEngineering and Technology,Computer Science,Computer Science Artificial Intelligence
dc.subject.keywordGastric Carcinoma
dc.description.noteBibliography, Appendices
dc.contributor.guideThangavel K
dc.publisher.placeSalem
dc.publisher.universityPeriyar University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2017
dc.date.awarded14/02/2018
dc.format.dimensions29 cms
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File285.39 kBAdobe PDFView/Open
02_certificate.pdf49.07 kBAdobe PDFView/Open
03_preliminary pages.pdf626.53 kBAdobe PDFView/Open
04_chapter 1.pdf390.05 kBAdobe PDFView/Open
05_chapter 2.pdf122.93 kBAdobe PDFView/Open
06_chapter 3.pdf766.25 kBAdobe PDFView/Open
07_chapter 4.pdf717.81 kBAdobe PDFView/Open
08_chapter 5.pdf530.99 kBAdobe PDFView/Open
09_chapter 6.pdf413.63 kBAdobe PDFView/Open
10_chapter 7.pdf79.59 kBAdobe PDFView/Open
11_bibliography.pdf153.85 kBAdobe PDFView/Open
12_appendices.pdf1.47 MBAdobe PDFView/Open
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