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Additional file 1: SI on model formulation and experiments.
Model formulation and details of boundary conditions are described.
In Section 2, model formulation and some preliminaries are presented for our main results.
In Section 2, the model formulation and some preliminaries are given.
Open image in new window Fig. 2 Qualitative model formulation and the Bayesian network model.
The model formulation and design of the SA algorithm are presented below.
In the next section, model formulation and biological meaning of the parameters are given.
Their popularity is due to their simple model formulation and good forecasting results (Gardner 1985).
More details on the model formulation and parameters are given by Beyer and Matthies [26].
The conceptual framework, model formulation, and a guide for interpreting the calibrated model are presented.
A numerical analysis on a test case illustrates the model formulation and the proposed algorithm.
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