1. Shodhganga@INFLIBNET
  2. Acharya Nagarjuna University
  3. Department of Computer Science & Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/70913
Title: Condition monitoring analysis and diagnosis of ECG signal using advaced neuro fuzzy of artificial intelligence and data mining techniques
Researcher: Srinivas, Nalla
Guide(s): Vinaya babu
Keywords: Data mining
Diagnosis
ECG signal
University: Acharya Nagarjuna University
Completed Date: 2013
Abstract: None
Pagination: 109p.
URI: http://hdl.handle.net/10603/70913
Appears in Departments:Department of Computer Science & Engineering

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01_title.pdfAttached File134.24 kBAdobe PDFView/Open
02_dedication.pdf101.46 kBAdobe PDFView/Open
03_certificate.pdf126.78 kBAdobe PDFView/Open
04_declaration.pdf210.73 kBAdobe PDFView/Open
05_content.pdf162.3 kBAdobe PDFView/Open
06_table.pdf133.6 kBAdobe PDFView/Open
07_acknowledgement.pdf114.87 kBAdobe PDFView/Open
08_abstract.pdf127.65 kBAdobe PDFView/Open
09_figure.pdf143.01 kBAdobe PDFView/Open
10_symbool.pdf137.37 kBAdobe PDFView/Open
11_accronayam.pdf118.38 kBAdobe PDFView/Open
12_chapter 1.pdf747.58 kBAdobe PDFView/Open
13_chapter 2.pdf347.03 kBAdobe PDFView/Open
14_chapter 3.pdf1.54 MBAdobe PDFView/Open
15_chapter 4.pdf1.01 MBAdobe PDFView/Open
16_chapter 5.pdf878.49 kBAdobe PDFView/Open
17_chapter 6.pdf1.72 MBAdobe PDFView/Open
18_chapter 7.pdf152.88 kBAdobe PDFView/Open
19_publication.pdf140.43 kBAdobe PDFView/Open
20_reference.pdf170.82 kBAdobe PDFView/Open
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