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dc.contributor.authorDif, Mohamed Nadir-
dc.contributor.authorDouga, Yassine ( Promoteur)-
dc.date.accessioned2022-12-13T13:56:19Z-
dc.date.available2022-12-13T13:56:19Z-
dc.date.issued2022-
dc.identifier.urihttps://di.univ-blida.dz/jspui/handle/123456789/20472-
dc.descriptionill., Bibliogr. Cote: ma-004-888fr_FR
dc.description.abstractSince 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.isoenfr_FR
dc.publisherUniversité Blida 1fr_FR
dc.subjectCOVID-19fr_FR
dc.subjectMachine Learningfr_FR
dc.subjectArtificial Intelligencefr_FR
dc.subjectReinforcement Learningfr_FR
dc.titleDesign and production of a tool for estimating and evaluating the risk of contamination by the COVID-19 virus in closed areasfr_FR
dc.typeThesisfr_FR
Appears in Collections:Mémoires de Master

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