Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/569107
Title: | Certain investigation on classification and prediction of covid 19 cough audio signals using improved deep learning models based optimization algorithms |
Researcher: | Ayappan, G |
Guide(s): | Anila, S |
Keywords: | COVID-19 outbreak Engineering Engineering and Technology Engineering Biomedical misdiagnosed Wide-ranging diagnosis |
University: | Anna University |
Completed Date: | 2024 |
Pagination: | xvii,146p. |
URI: | http://hdl.handle.net/10603/569107 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 18.73 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.75 MB | Adobe PDF | View/Open | |
03_content.pdf | 98.93 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 84.93 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 724.67 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 192.04 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 1.72 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 1.52 MB | Adobe PDF | View/Open | |
09_annexures.pdf | 108.56 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 81.72 kB | Adobe PDF | View/Open |
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