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1
Machine Learning Approaches for COVID-19 Forecasting:
, In:
2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)
,
Istaiteh, Othman
;
Owais, Tala
;
Al-Madi, Nailah
. - p. 50-57 , 2020
Link:
https://doi.org/10.1109/IDSTA50958.2020.9264101
RT T1 <cTitle>2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)</cTitle>: T1 <Title>Machine Learning Approaches for COVID-19 Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9264101&Exemplar=1&LAN=DE A1 Istaiteh, Othman A1 Owais, Tala A1 Al-Madi, Nailah A1 Abu-Soud, Saleh YR 2020 K1 Forecasting K1 COVID-19 K1 Predictive models K1 Data models K1 Prediction algorithms K1 Time series analysis K1 Mathematical model K1 Spatial Time-series Forecasting K1 Deep Learning K1 ARIMA K1 ANN K1 CNN K1 LSTM SP 50 OP 57 LK http://dx.doi.org/https://doi.org/10.1109/IDSTA50958.2020.9264101 DO https://doi.org/10.1109/IDSTA50958.2020.9264101 SF ELIB - SuUB Bremen
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