Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/141680
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DC FieldValueLanguage
dc.coverage.spatialElectrical Engineering
dc.date.accessioned2017-03-24T10:32:26Z-
dc.date.available2017-03-24T10:32:26Z-
dc.identifier.urihttp://hdl.handle.net/10603/141680-
dc.description.abstractAbstract available
dc.format.extentxxv, 124p.
dc.languageEnglish
dc.relation106-122
dc.rightsuniversity
dc.titlePrediction and classification of pulmonary abnormality using spirometric investigations
dc.title.alternative
dc.creator.researcherMythili, A.
dc.subject.keywordAbnormality
dc.subject.keywordChronic
dc.subject.keywordPrediction
dc.subject.keywordPulmonary
dc.subject.keywordSpirometric
dc.description.noteData not available
dc.contributor.guideSrinivasan, S.
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registeredn.d.
dc.date.completedapril, 2015
dc.date.awardedn.d.
dc.format.dimensions30cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File99.58 kBAdobe PDFView/Open
02_certificate.pdf420.27 kBAdobe PDFView/Open
03_abstarct.pdf88.03 kBAdobe PDFView/Open
04_acknowledgement.pdf81.25 kBAdobe PDFView/Open
05_table of contents.pdf86.86 kBAdobe PDFView/Open
06_list of tables.pdf80.04 kBAdobe PDFView/Open
07_list of figures.pdf169.01 kBAdobe PDFView/Open
08_list of symbols and abbreviations.pdf333.71 kBAdobe PDFView/Open
09_chapter 1.pdf288.43 kBAdobe PDFView/Open
10_chapter 2.pdf123.62 kBAdobe PDFView/Open
11_chapter 3.pdf379.39 kBAdobe PDFView/Open
12_chapter 4.pdf450.47 kBAdobe PDFView/Open
13_conclusions.pdf89.99 kBAdobe PDFView/Open
14_references.pdf165.78 kBAdobe PDFView/Open
15_list of publications.pdf86.9 kBAdobe PDFView/Open


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