Covid-19 SEIQR yayılım matematiksel modeli

buir.contributor.authorDemir, Okan
dc.citation.epage4en_US
dc.citation.spage1en_US
dc.contributor.authorAkman, Çağlar
dc.contributor.authorDemir, Okan
dc.contributor.authorSönmez, Tolga
dc.coverage.spatialIstanbul, Turkeyen_US
dc.date.accessioned2022-02-01T12:55:08Z
dc.date.available2022-02-01T12:55:08Z
dc.date.issued2021-07-19
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionConference NAme: 2021 29th Signal Processing and Communications Applications Conference (SIU)en_US
dc.descriptionDate of Name: 9-11 June 2021en_US
dc.description.abstractBu 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.abstractThe 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.doi10.1109/SIU53274.2021.9477975en_US
dc.identifier.eisbn978-1-6654-3649-6
dc.identifier.isbn978-1-6654-3650-2
dc.identifier.issn2165-0608
dc.identifier.urihttp://hdl.handle.net/11693/76949
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/SIU53274.2021.9477975en_US
dc.source.titleIEEE Signal Processing and Communications Applications (SIU)en_US
dc.subjectCovid-19en_US
dc.subjectSEIQR modelien_US
dc.subjectPontryagin minimum prensibien_US
dc.subjectDurumsal farkındalıken_US
dc.subjectSEIQR modelen_US
dc.subjectPontryagin minimum principleen_US
dc.subjectSituational awarenessen_US
dc.titleCovid-19 SEIQR yayılım matematiksel modelien_US
dc.title.alternativeCovid-19 SEIQR spread mathematical modelen_US
dc.typeConference Paperen_US

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