Covid-19 SEIQR yayılım matematiksel modeli
buir.contributor.author | Demir, Okan | |
dc.citation.epage | 4 | en_US |
dc.citation.spage | 1 | en_US |
dc.contributor.author | Akman, Çağlar | |
dc.contributor.author | Demir, Okan | |
dc.contributor.author | Sönmez, Tolga | |
dc.coverage.spatial | Istanbul, Turkey | en_US |
dc.date.accessioned | 2022-02-01T12:55:08Z | |
dc.date.available | 2022-02-01T12:55:08Z | |
dc.date.issued | 2021-07-19 | |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Conference NAme: 2021 29th Signal Processing and Communications Applications Conference (SIU) | en_US |
dc.description | Date of Name: 9-11 June 2021 | en_US |
dc.description.abstract | Bu bildiride Covid-19 salgınının nüfusta yayılımı EIQR matematiksel modeli ile formüle edilmiştir. Kesikli zamanlı yayılım modeli ile salgının bulaş hızı ve hasta tespit oranı kestirilmektedir. Kısıtlı optimal kontrol problemi olarak ifade edilen kestirim modeli Pontryagin minimum prensibi ile çözülmüştür. Yayılım ve kestirim modeli gerçek verilerin üzerinde test edilmiş, performans sonuçları sunulmuştur. Önerilen yöntemin başarılı bir şekilde salgın parametrelerinin kestirimini yaptığı gösterilmiştir. | en_US |
dc.description.abstract | The spread of Covid-19 pandemic in the population is formulated with SEIQR mathematical model. The estimation model, which is defined as a discrete time optimal control problem, is solved with Pontryagin minimum principle. The spread estimation model is tested on the real data and associated performance results are presented. It is shown that the proposed method estimates the pandemic model parameters successfully. | en_US |
dc.identifier.doi | 10.1109/SIU53274.2021.9477975 | en_US |
dc.identifier.eisbn | 978-1-6654-3649-6 | |
dc.identifier.isbn | 978-1-6654-3650-2 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.uri | http://hdl.handle.net/11693/76949 | |
dc.language.iso | Turkish | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | https://dx.doi.org/10.1109/SIU53274.2021.9477975 | en_US |
dc.source.title | IEEE Signal Processing and Communications Applications (SIU) | en_US |
dc.subject | Covid-19 | en_US |
dc.subject | SEIQR modeli | en_US |
dc.subject | Pontryagin minimum prensibi | en_US |
dc.subject | Durumsal farkındalık | en_US |
dc.subject | SEIQR model | en_US |
dc.subject | Pontryagin minimum principle | en_US |
dc.subject | Situational awareness | en_US |
dc.title | Covid-19 SEIQR yayılım matematiksel modeli | en_US |
dc.title.alternative | Covid-19 SEIQR spread mathematical model | en_US |
dc.type | Conference Paper | en_US |
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