1. Shodhganga@INFLIBNET
  2. The Gandhigram Rural Institute
  3. Department of Computer Science and Applications
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/315698
Title: Intelligent computational models for alzheimers disease classification
Researcher: Naganandhini, S
Guide(s): Shanmugavadivu, P
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: The Gandhigram Rural Institute
Completed Date: 2020
Abstract: newline
Pagination: xxii, 180p.
URI: http://hdl.handle.net/10603/315698
Appears in Departments:Department of Computer Science and Applications

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01_title.pdfAttached File58.69 kBAdobe PDFView/Open
02_certificate.pdf67.07 kBAdobe PDFView/Open
03_declaration.pdf36.22 kBAdobe PDFView/Open
04_acknowledgement.pdf29.73 kBAdobe PDFView/Open
05_contents.pdf130.1 kBAdobe PDFView/Open
06_list of tables.pdf40.94 kBAdobe PDFView/Open
07_list of figures.pdf54.06 kBAdobe PDFView/Open
08_list of algorithms.pdf32.03 kBAdobe PDFView/Open
09_list of abbreviations.pdf103.12 kBAdobe PDFView/Open
10_list of symbols.pdf64.67 kBAdobe PDFView/Open
11_abstract.pdf102.72 kBAdobe PDFView/Open
12_chapter 1.pdf472.56 kBAdobe PDFView/Open
13_chapter 2.pdf172.33 kBAdobe PDFView/Open
14_chapter 3.pdf369.04 kBAdobe PDFView/Open
15_chapter 4.pdf1.16 MBAdobe PDFView/Open
16_chapter 5.pdf478.67 kBAdobe PDFView/Open
17_chapter 6.pdf1.08 MBAdobe PDFView/Open
18_chapter 7.pdf707.22 kBAdobe PDFView/Open
19_chapter 8.pdf661.45 kBAdobe PDFView/Open
20_chapter 9.pdf184.32 kBAdobe PDFView/Open
21_bibliography.pdf190.74 kBAdobe PDFView/Open
22_appendix.pdf109.14 kBAdobe PDFView/Open
80_recommendation.pdf348.41 kBAdobe PDFView/Open
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