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1
Epidemiological Modeling with Sir and Arima Dynamic Models ..:
, In:
2022 8th International Engineering, Sciences and Technology Conference (IESTEC)
,
Castillero, Roberto
;
Esquivel, Jaime
;
Alvarez, Humberto
. - p. 279-286 , 2022
Link:
https://doi.org/10.1109/IESTEC54539.2022.00049
RT T1 <cTitle>2022 8th International Engineering, Sciences and Technology Conference (IESTEC)</cTitle>: T1 <Title>Epidemiological Modeling with Sir and Arima Dynamic Models and Machine Learning to Predict the Future Behavior of Covid-19 in Panama</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10040829&Exemplar=1&LAN=DE A1 Castillero, Roberto A1 Esquivel, Jaime A1 Alvarez, Humberto A1 Lopez, Victor YR 2022 K1 Mathematical models K1 COVID-19 K1 Predictive models K1 Software K1 Mathematics computing K1 Machine learning K1 Data models K1 Epidemiological model K1 neural network K1 Machine Learning K1 SIR model K1 ARIMA model SP 279 OP 286 LK http://dx.doi.org/https://doi.org/10.1109/IESTEC54539.2022.00049 DO https://doi.org/10.1109/IESTEC54539.2022.00049 SF ELIB - SuUB Bremen
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