1. Shodhganga@INFLIBNET
  2. Koneru Lakshmaiah Education Foundation
  3. Department of Electronics and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/319243
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-04-08T05:34:38Z-
dc.date.available2021-04-08T05:34:38Z-
dc.identifier.urihttp://hdl.handle.net/10603/319243-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Machine learning based thermographic system to characterize the subsurface anomaly for solids
dc.title.alternative
dc.creator.researcherVijaya Lakshmi Atla
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideG V Subba rao
dc.publisher.placeVaddeswaram
dc.publisher.universityKoneru Lakshmaiah Education Foundation
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered2013
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
10. nomenclature.pdfAttached File248.82 kBAdobe PDFView/Open
11. abbreviations.pdf178.74 kBAdobe PDFView/Open
12. chapter 1.pdf808.83 kBAdobe PDFView/Open
13. chapter 2.pdf699.32 kBAdobe PDFView/Open
14. chapter 3.pdf635.55 kBAdobe PDFView/Open
15. chapter 4.pdf1.65 MBAdobe PDFView/Open
16. chapter 5.pdf1.42 MBAdobe PDFView/Open
17. chapter 6.pdf689.97 kBAdobe PDFView/Open
18. chapter 7.pdf820.59 kBAdobe PDFView/Open
19. chapter 8_conclusion.pdf274.53 kBAdobe PDFView/Open
1.title.pdf333.5 kBAdobe PDFView/Open
2. decleration.pdf244.52 kBAdobe PDFView/Open
3. certificate.pdf121.2 kBAdobe PDFView/Open
4. acknowledgements.pdf181.62 kBAdobe PDFView/Open
5. table of contents.pdf195.98 kBAdobe PDFView/Open
6. abstract.pdf178.92 kBAdobe PDFView/Open
7. joint author publications.pdf289.17 kBAdobe PDFView/Open
80_recommendation.pdf7.26 MBAdobe PDFView/Open
8. list of figures.pdf262.18 kBAdobe PDFView/Open
9. list of tables.pdf176.61 kBAdobe PDFView/Open
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