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/10603/538332
Title: Deep Learning based Automatic Qualitative and Quantitative System for Composite Material Inspection Using QFMTWI
Researcher: VESALA GAPI TILAK
Guide(s): Dr. GHALI VENKATA SUBBARAO
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Koneru Lakshmaiah Education Foundation
Completed Date: 2023
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/538332
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File373.98 kBAdobe PDFView/Open
02_declaration.pdf60.67 kBAdobe PDFView/Open
03_certificate.pdf181.2 kBAdobe PDFView/Open
04_acknowledgement.pdf336.91 kBAdobe PDFView/Open
05_abstract.pdf367.48 kBAdobe PDFView/Open
06_table of contents.pdf449.2 kBAdobe PDFView/Open
07_list of figures.pdf897.17 kBAdobe PDFView/Open
08_list of tables.pdf76.23 kBAdobe PDFView/Open
09_abbrevations and nomenculator.pdf399.39 kBAdobe PDFView/Open
10_chapter 1.pdf1.89 MBAdobe PDFView/Open
11_chapter 2.pdf3.61 MBAdobe PDFView/Open
12_chapter 3.pdf4.79 MBAdobe PDFView/Open
13_chapter 4.pdf4.78 MBAdobe PDFView/Open
14_chapter 5.pdf2.76 MBAdobe PDFView/Open
15_chapter 6.pdf440.18 kBAdobe PDFView/Open
16_references.pdf509.92 kBAdobe PDFView/Open
17_list of publications.pdf801.85 kBAdobe PDFView/Open
18_appendix.pdf518.76 kBAdobe PDFView/Open
80_recommendation.pdf23.22 MBAdobe PDFView/Open
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