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COVID-19 Cases Estimation in the UK Using Improved SEIR Mod..:
, In:
2021 14th International Conference on Developments in eSystems Engineering (DeSE)
,
Jiang, Shaogang
;
Al-Ataby, Ali
;
Al-Naima, Fawzi
- p. 469-474 , 2021
Link:
https://doi.org/10.1109/DeSE54285.2021.9719390
RT T1 <cTitle>2021 14th International Conference on Developments in eSystems Engineering (DeSE)</cTitle>: T1 <Title>COVID-19 Cases Estimation in the UK Using Improved SEIR Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9719390&Exemplar=1&LAN=DE A1 Jiang, Shaogang A1 Al-Ataby, Ali A1 Al-Naima, Fawzi YR 2021 SN 2161-1351 K1 COVID-19 K1 Training K1 Machine learning algorithms K1 Government K1 Estimation K1 Predictive models K1 Prediction algorithms K1 SEIR K1 machine learning K1 estimation SP 469 OP 474 LK http://dx.doi.org/https://doi.org/10.1109/DeSE54285.2021.9719390 DO https://doi.org/10.1109/DeSE54285.2021.9719390 SF ELIB - SuUB Bremen
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