Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/479244
Title: | Classification of cardiac arrhythmia disease prediction and detection in ecg signals using enhanced msvm and rnn models |
Researcher: | B Bavani |
Guide(s): | S Nirmala Sugirtha Rajini |
Keywords: | Computer Science Computer Science Theory and Methods Engineering and Technology |
University: | Dr. M.G.R. Educational and Research Institute |
Completed Date: | 2022 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/479244 |
Appears in Departments: | Department of Computer Applications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10 - chapter 6.pdf | Attached File | 1.01 MB | Adobe PDF | View/Open |
11-annexures.pdf | 525.06 kB | Adobe PDF | View/Open | |
1-title.pdf | 286.31 kB | Adobe PDF | View/Open | |
2-preliminary pages.pdf | 1.19 MB | Adobe PDF | View/Open | |
3-content.pdf | 182.93 kB | Adobe PDF | View/Open | |
4-abstract.pdf | 175.3 kB | Adobe PDF | View/Open | |
5 - chapter 1.pdf | 696.87 kB | Adobe PDF | View/Open | |
6 - chapter 2.pdf | 386.88 kB | Adobe PDF | View/Open | |
7 - chapter 3.pdf | 542.49 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.29 MB | Adobe PDF | View/Open | |
8 -chapter 4.pdf | 503.99 kB | Adobe PDF | View/Open | |
9 - chapter 5.pdf | 476.5 kB | Adobe PDF | View/Open |
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