| dc.contributor.author | Cihan, Pınar | |
| dc.date.accessioned | 2022-05-11T14:15:56Z | |
| dc.date.available | 2022-05-11T14:15:56Z | |
| dc.date.issued | 2020 | |
| dc.identifier.isbn | 9781728190907 | |
| dc.identifier.uri | https://doi.org/10.1109/ISMSIT50672.2020.9254714 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11776/6128 | |
| dc.description | 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025 | en_US |
| dc.description.abstract | The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors in reducing the spread of the epidemic are washing hands, reducing social distance and using a mask. Today in addition to clinical studies, computer-aided studies are also widely carried out for Covid-19 outbreak. Artificial intelligence methods are successfully applied in epidemic studies. In this study, fuzzy rule basing system (FRBS) used to predict the number of Covid-19 daily cases. As a result of the study, the number of daily cases was successfully estimated with FRBS (R2 = 0.96, MAE = 186 and RMSE = 254).. © 2020 IEEE. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.identifier.doi | 10.1109/ISMSIT50672.2020.9254714 | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | daily case | en_US |
| dc.subject | fuzzy rule basing system | en_US |
| dc.subject | prediction | en_US |
| dc.title | Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak | en_US |
| dc.type | conferencePaper | en_US |
| dc.relation.ispartof | 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings | en_US |
| dc.department | Fakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.institutionauthor | Cihan, Pınar | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.authorscopusid | 56539994200 | |
| dc.identifier.scopus | 2-s2.0-85097657895 | en_US |
