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/10603/564362
| Title: | Prediciting Severity Levels in COVID 19 Infection Based on Chest CT Images Using ASO GRU NN Model |
| Researcher: | Kalaivani J |
| Guide(s): | Arunachalam A S |
| Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
| University: | Vels University |
| Completed Date: | 2023 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/564362 |
| Appears in Departments: | Department of Computer Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01. title.pdf | Attached File | 57.4 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 245.56 kB | Adobe PDF | View/Open | |
| 03_content.pdf | 26.82 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 14.17 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 558.76 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 201.75 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 993.67 kB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 403.58 kB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 150.47 kB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 2.91 MB | Adobe PDF | View/Open | |
| 11_chapter 6.pdf | 617.03 kB | Adobe PDF | View/Open | |
| 12_chapter 7.pdf | 398.28 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 7.03 kB | Adobe PDF | View/Open |
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