Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/570731
Title: | BFLLCOV 19 Model for Early Detection of COVID19 in Patients With Comorbidities Using Deep Learning Algorithms |
Researcher: | Akila S |
Guide(s): | Prasanna S |
Keywords: | Computer Science Computer Science Cybernetics Engineering and Technology |
University: | Vels University |
Completed Date: | 2024 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/570731 |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 54.86 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 215.36 kB | Adobe PDF | View/Open | |
03_content.pdf | 16.45 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 4.93 kB | Adobe PDF | View/Open | |
05_chapter - 1.pdf | 889.63 kB | Adobe PDF | View/Open | |
06_chapter - 2.pdf | 97.26 kB | Adobe PDF | View/Open | |
07_ chapter - 3.pdf | 417.78 kB | Adobe PDF | View/Open | |
08_ chapter - 4.pdf | 838.36 kB | Adobe PDF | View/Open | |
09_ chapter - 5.pdf | 693.26 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 52.9 kB | Adobe PDF | View/Open | |
11_chapter - 6.pdf | 553.88 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 8.73 kB | Adobe PDF | View/Open |
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