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Perra, N. & Gonçalves, B. Modeling and predicting human infectious diseases.
"It's the modeling and predicting the future that's harder than anything," Mr. Basso said.
This paper proposes using artificial neural network (ANN -based ANN -basedres for modeling architecturesg network traforc.
The coupling between these factors leads to considerable challenges in modeling and predicting sand production.
Modeling and predicting the response and failure of laminated composite structures is a very challenging task.
Therefore, neither ARIMA nor neural networks can be adequate in modeling and predicting time series data.
We describe a dynamic framework with vector autoregressions (VAR) for modeling and predicting compositional time series.
And if the models can't foresee a relatively minor break like a recession, they have even more trouble modeling and predicting a major rupture like a full-blown financial crisis.
We propose a novel probabilistic, Bayesian, method for modeling and predicting ice load distributions in different ice and operational conditions.
In this paper, a modified Elman recurrent neural network in modeling and predicting software failures is investigated.
Modeling and predicting the structure of proteins is one of the most important challenges of computational biology.
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modeling and indicating
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modeling and modeling
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