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
Title: A Machine learning based thermographic system to characterize the subsurface anomaly for solids
Researcher: Vijaya Lakshmi Atla
Guide(s): G V Subba rao
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Koneru Lakshmaiah Education Foundation
Completed Date: 2021
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/319243
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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