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1 Ergebnisse
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A Rolling-Based Multipeak Learning Model for COVID-19 Pande..:
, In:
2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
,
Chen, Dian
;
Zhou, Liping
- p. 0732-0736 , 2022
Link:
https://doi.org/10.1109/IEEM55944.2022.9989642
RT T1 <cTitle>2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)</cTitle>: T1 <Title>A Rolling-Based Multipeak Learning Model for COVID-19 Pandemic Predicting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9989642&Exemplar=1&LAN=DE A1 Chen, Dian A1 Zhou, Liping YR 2022 K1 COVID-19 K1 Pandemics K1 Fitting K1 Predictive models K1 Benchmark testing K1 Market research K1 Numerical models K1 COVID-19 pandemic K1 prediction K1 multipeak trends learning K1 SEIYAQURD model K1 rolling-based SP 0732 OP 0736 LK http://dx.doi.org/https://doi.org/10.1109/IEEM55944.2022.9989642 DO https://doi.org/10.1109/IEEM55944.2022.9989642 SF ELIB - SuUB Bremen
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