Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/519777
| Title: | Identification of covid 19 and co morbidity detection using deep learning models |
| Researcher: | Jeevitha, S |
| Guide(s): | Valarmathi, K |
| Keywords: | covid 19 deep learning models Engineering Engineering and Technology Engineering Electrical and Electronic morbidity |
| University: | Anna University |
| Completed Date: | 2023 |
| Pagination: | xxii,164p. |
| URI: | http://hdl.handle.net/10603/519777 |
| Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 25.56 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 2.13 MB | Adobe PDF | View/Open | |
| 03_content.pdf | 188.49 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 187.12 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 516.68 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 517.14 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 1.5 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 885.9 kB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 1.21 MB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 219.55 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 276.19 kB | Adobe PDF | View/Open |
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