Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/383344
Title: | A novel feature selection technique using hybrid metaheuristic algorithms for phonocardiogram PGC signal classification |
Researcher: | Venkata Hari Prasad, G. |
Guide(s): | Rajesh Kumar, P. |
Keywords: | Engineering Engineering and Technology Engineering Electronics and Communications Hybrid Metaheuristic Algorithm. Phonocardiogram (PGC) Signal Classification. Phonocardiogram (PGC) Signal Classification-Novel Feature Selection-Hybrid Metaheuristic Algorithm. |
University: | Andhra University |
Completed Date: | 2015 |
Abstract: | None |
Pagination: | xii, 173p. |
URI: | http://hdl.handle.net/10603/383344 |
Appears in Departments: | Department of Electronics & Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 39.36 kB | Adobe PDF | View/Open |
02_declaration.pdf | 49.58 kB | Adobe PDF | View/Open | |
03_certificate.pdf | 57.9 kB | Adobe PDF | View/Open | |
04_acknowledgements.pdf | 53.32 kB | Adobe PDF | View/Open | |
05_dedication.pdf | 26.45 kB | Adobe PDF | View/Open | |
06_abstract.pdf | 57.93 kB | Adobe PDF | View/Open | |
07_contents.pdf | 69.21 kB | Adobe PDF | View/Open | |
08_list of figures.pdf | 80.51 kB | Adobe PDF | View/Open | |
09_list of tables.pdf | 64.92 kB | Adobe PDF | View/Open | |
10_list of abbreviations.pdf | 55.38 kB | Adobe PDF | View/Open | |
11_chapter 1.pdf | 627.05 kB | Adobe PDF | View/Open | |
12_chapter 2.pdf | 129.28 kB | Adobe PDF | View/Open | |
13_chapter 3.pdf | 855.59 kB | Adobe PDF | View/Open | |
14_chapter 4.pdf | 477.85 kB | Adobe PDF | View/Open | |
15_chapter 5.pdf | 231.04 kB | Adobe PDF | View/Open | |
16_chapter 6.pdf | 274.5 kB | Adobe PDF | View/Open | |
17_chapter 7_final conclusions and future scope of works.pdf | 84.81 kB | Adobe PDF | View/Open | |
18_references.pdf | 179.42 kB | Adobe PDF | View/Open | |
19_list of publications.pdf | 102.56 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 123.22 kB | Adobe PDF | View/Open |
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