1. Shodhganga@INFLIBNET
  2. Sri Padmavathi Womens University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/314681
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-02-10T12:19:53Z-
dc.date.available2021-02-10T12:19:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/314681-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleInternet of Things Enabled Healthcare Assistance Framework for Early Stage Detection of Breast Abnormalities
dc.title.alternative
dc.creator.researcherM. Kavitha
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideP. Venkata Krishna
dc.publisher.placeTirupati
dc.publisher.universitySri Padmavathi Womens University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2020
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File102.14 kBAdobe PDFView/Open
02_certificate & declaration.pdf120.72 kBAdobe PDFView/Open
03_preliminary pages.pdf280.12 kBAdobe PDFView/Open
04_chapter1.pdf264.67 kBAdobe PDFView/Open
05_chapter2.pdf380.04 kBAdobe PDFView/Open
06_chapter3.pdf301.55 kBAdobe PDFView/Open
07_chapter4.pdf563.04 kBAdobe PDFView/Open
08_chapter5.pdf294.06 kBAdobe PDFView/Open
09_chapter6.pdf526.42 kBAdobe PDFView/Open
10_chapter7.pdf284.81 kBAdobe PDFView/Open
11_references.pdf200.43 kBAdobe PDFView/Open
80_recommendation.pdf175.03 kBAdobe PDFView/Open
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