Sentence examples for model parameters solely from inspiring English sources

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Pfitzinger and Mixdorff [17] discuss the accuracy of the current methods to estimate the model parameters solely on the basis of the extracted natural F0 contours.

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A remarkably good agreement between model predictions and direct three-phase relative permeability measurements from the literature is observed when model parameters are estimated solely on the basis of two-phase information.

It is important to emphasize that, unlike other models that have been proposed in the literature, the new model requires no fitting parameters, solely depending on the properties of the matrix phase and microstructural information, such as the porosity, the average void shape and orientation, as well as the generally different shape and orientation of their distribution.

Since the model parameters are based almost solely on the path loss measurements performed on the second floor of the Zuiderpoort building, it is important that the measured path loss values are reliable.

An alternative approach to estimate the model parameters, which does not solely rely on the location of the leading edge of the expanding cell colony, is to extract detailed information about the location of individual cells throughout the population and to construct a cell density profile throughout the entire expanding colony [ 7, 18].

The model accounts explicitly for the effect of both pH and salt concentration, and its parameters can be determined in diluted conditions, that is, through physically sound assumptions, all model parameters can be obtained using solely experiments in diluted conditions, and be used to make predictions in overloaded conditions.

This formulation is used to provide analytical expressions of the dissipated energy under symmetric cyclic excitation, based solely on the model parameters and the displacement amplitude.

Since no measurements were available from the non-participating individuals, their carriage histories relied solely on the model parameters and on the carriage histories of the participating members.

This will have as a practical benefit that the weighting function for each LDR image can be calculated solely based on the model parameters of the particular image, which permits offline computation of the weighting function.

This result implies that the exponent b is solely determined by the model parameters L, M, and N. Therefore, we examined the relationship between the values of L, M, N, and the resultant exponent b of the steady-state distribution (Figure 2).

As there is no closed-form estimation of model parameters, the fitness of the models was solely determined by comparing the original image with the masked image (see Figure S1).

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