Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/522587
Title: | A Novel Method for Analyzing and Predicting COVID 19 Disease |
Researcher: | Punitha P |
Guide(s): | Kranthi Kiran B |
Keywords: | Computer Science Computer Science Interdisciplinary Applications COVID-19 prediction Data Mining techniques Deep Learning techniques Engineering and Technology Machine learning techniques |
University: | Jawaharlal Nehru Technological University, Hyderabad |
Completed Date: | 2023 |
Abstract: | Attached |
Pagination: | 126pp. |
URI: | http://hdl.handle.net/10603/522587 |
Appears in Departments: | Faculty of Computer Science & Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 146.49 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 3.08 MB | Adobe PDF | View/Open | |
03_content.pdf | 65.82 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 62.25 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 487.77 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 260.18 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.12 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 624.54 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 176.6 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 534.45 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 316.51 kB | Adobe PDF | View/Open |
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