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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[Scopus]:4 | Submit date:2021/03/09
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
Favorite | TC[Scopus]:1 | Submit date:2021/03/09
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
Favorite | TC[Scopus]:2 | Submit date:2021/03/09
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
Favorite | TC[Scopus]:4 | Submit date:2021/03/09
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
Favorite | TC[Scopus]:2 | Submit date:2021/03/09
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
Favorite | TC[Scopus]:4 | Submit date:2021/03/09