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Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 89-98
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 15-39
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 55-68
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Prediction for Decision Support During the COVID-19 Pandemic Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 1-13
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Forecasting COVID-19 Time Series Based on an Autoregressive Model Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 41-54
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 69-87
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09