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dc.contributor.authorElKafrawy, Passent
dc.contributor.authorGamal, Mohamed Taher
dc.contributor.authorHedaya, Mohammed M.
dc.contributor.authorBakeer, Bahi
dc.contributor.authorZakaria, Mahmoud
dc.date.accessioned2023-03-16T04:29:21Z
dc.date.available2023-03-16T04:29:21Z
dc.date.issued2023-01
dc.identifier.citationM. Taher, M. M. Hedaya, B. Bakeer, P. E. Kafrawy and M. Zakaria, "Dynamic Modeling and Identification of the COVID-19 Stochastic Dispersion," 2022 20th International Conference on Language Engineering (ESOLEC), Cairo, Egypt, 2022, pp. 147-151, doi: 10.1109/ESOLEC54569.2022.10009467.en_US
dc.identifier.doi10.1109/ESOLEC54569.2022.10009467en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/679
dc.description.abstractIn this work, the stochastic dispersion of novel coronavirus disease 2019 (COVID-19) at the borders between France and Italy has been considered using a multi-input multi-output stochastic model. The physical effects of wind, temperature and altitude have been investigated as these factors and physical relationships are stochastic in nature. Stochastic terms have also been included to take into account the turbulence effect, and the random nature of the above physical parameters considered. Then, a method is proposed to identify the developed model's order and parameters. The actual data has been used in the identification and prediction process as a reference. These data have been divided into two parts: the first part is used to calculate the stochastic parameters of the model which are used to predict the COVID-19 level, while the second part is used as a check data. The predicted results are in good agreement with the check data.en_US
dc.publisherIEEEen_US
dc.subjectCOVID-19 , Temperatureen_US
dc.subjectComputational modeling ,en_US
dc.subjectStochastic processes , Predictive models , Data models ,en_US
dc.subjectData Miningen_US
dc.titleDynamic Modeling and Identification of the COVID-19 Stochastic Dispersionen_US
dc.contributor.researcherExternal Collaborationen_US
dc.contributor.labArtificial Intelligence & Cyber Security Laben_US
dc.subject.KSAICTen_US
dc.source.indexScopusen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.firstauthorGamal, Mohamed Taher
dc.conference.locationEgypt, Cairoen_US
dc.conference.name2022 20th International Conference on Language Engineering (ESOLEC)en_US
dc.conference.date2022-10-12


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