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dc.contributor.author |
Dif, Mohamed Nadir |
|
dc.contributor.author |
Douga, Yassine ( Promoteur) |
|
dc.date.accessioned |
2022-12-13T13:56:19Z |
|
dc.date.available |
2022-12-13T13:56:19Z |
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dc.date.issued |
2022 |
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dc.identifier.uri |
https://di.univ-blida.dz/jspui/handle/123456789/20472 |
|
dc.description |
ill., Bibliogr. Cote: ma-004-888 |
fr_FR |
dc.description.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. |
fr_FR |
dc.language.iso |
en |
fr_FR |
dc.publisher |
Université Blida 1 |
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dc.subject |
COVID-19 |
fr_FR |
dc.subject |
Machine Learning |
fr_FR |
dc.subject |
Artificial Intelligence |
fr_FR |
dc.subject |
Reinforcement Learning |
fr_FR |
dc.title |
Design and production of a tool for estimating and evaluating the risk of contamination by the COVID-19 virus in closed areas |
fr_FR |
dc.type |
Thesis |
fr_FR |
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