Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology
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9783030619121, 9783030619138

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Forecasting COVID-19 Time Series Based on an Autoregressive Model

Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-61913-8_3 ◽

2020 ◽

pp. 41-54

Author(s):

Joao Alexandre Lobo Marques ◽

Francisco Nauber Bernardo Gois ◽

José Xavier-Neto ◽

Simon James Fong

Keyword(s):

Time Series ◽

Autoregressive Model

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Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil

Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-61913-8_6 ◽

2020 ◽

pp. 89-98

Author(s):

Joao Alexandre Lobo Marques ◽

Francisco Nauber Bernardo Gois ◽

José Xavier-Neto ◽

Simon James Fong

Keyword(s):

Geographic Spread

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Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML

Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-61913-8_5 ◽

2020 ◽

pp. 69-87

Author(s):

Joao Alexandre Lobo Marques ◽

Francisco Nauber Bernardo Gois ◽

José Xavier-Neto ◽

Simon James Fong

Keyword(s):

Artificial Intelligence ◽

Neural Networks

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Prediction for Decision Support During the COVID-19 Pandemic

Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-61913-8_1 ◽

2020 ◽

pp. 1-13

Author(s):

Joao Alexandre Lobo Marques ◽

Francisco Nauber Bernardo Gois ◽

José Xavier-Neto ◽

Simon James Fong

Keyword(s):

Decision Support

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Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention

Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-61913-8_2 ◽

2020 ◽

pp. 15-39

Author(s):

Joao Alexandre Lobo Marques ◽

Francisco Nauber Bernardo Gois ◽

José Xavier-Neto ◽

Simon James Fong

Keyword(s):

Compartmental Models

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Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering

Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-61913-8_4 ◽

2020 ◽

pp. 55-68

Author(s):

Joao Alexandre Lobo Marques ◽

Francisco Nauber Bernardo Gois ◽

José Xavier-Neto ◽

Simon James Fong

Keyword(s):

Kalman Filtering ◽

Nonlinear Prediction

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Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and TechnologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Forecasting COVID-19 Time Series Based on an Autoregressive Model

Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil

Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML

Prediction for Decision Support During the COVID-19 Pandemic

Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention

Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering

Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology
Latest Publications