Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/20472| Title: | Design and production of a tool for estimating and evaluating the risk of contamination by the COVID-19 virus in closed areas |
| Authors: | Dif, Mohamed Nadir Douga, Yassine ( Promoteur) |
| Keywords: | COVID-19 Machine Learning Artificial Intelligence Reinforcement Learning |
| Issue Date: | 2022 |
| Publisher: | Université Blida 1 |
| Abstract: | Since the end of 2019, the COVID19 virus has appeared in the world. This virus has left and still leaves behind thousands of deaths. Several security measures have been adopted to limit the spread of the latter among the world's populations. Following scientific research, in April 2021, American researchers proposed a formula that estimates and limits the risk of contagion by COVID19. One of the peculiarities of COVID19 is that it is a virus that continues to evolve and mutate. A theme aimed at developing an application based on the formula proposed by [1] to design and production of a tool for estimating and evaluating the risk of contamination by the COVID-19 virus in closed areas. Keywords:COVID-19, Machine Learning, Artificial Intelligence, Reinforcement Learning. |
| Description: | ill., Bibliogr. Cote: ma-004-888 |
| URI: | https://di.univ-blida.dz/jspui/handle/123456789/20472 |
| Appears in Collections: | Mémoires de Master |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Dif Mohamed Nadir.pdf | 1,6 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.