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/10603/519984
| Title: | Computer vision assisted deep learning techniques for effective contact tracing of covid 19 carriers from video clips |
| Researcher: | Haripriya, R |
| Guide(s): | Kousalya, G |
| Keywords: | COVID 19 Deep learning Immunology Life Sciences Multidisciplinary Sciences Video clips |
| University: | Anna University |
| Completed Date: | 2023 |
| Pagination: | xvii,137p |
| URI: | http://hdl.handle.net/10603/519984 |
| Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 56.81 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 1.68 MB | Adobe PDF | View/Open | |
| 03_content.pdf | 229.86 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 117.85 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 1.13 MB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 429.52 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 1.37 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 1.42 MB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 1.64 MB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 107.31 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 98.71 kB | Adobe PDF | View/Open |
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