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 |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: