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The results show that by applying the new plume rise formulas instead of the conventional Briggs formulas in the Gaussian model, the normalized mean square error reduces by 20% and the fraction of predictions within a factor of two increases by 50%.
In the explicit shape model, we model the normalized position of the features along with the features themselves.
To train the backend acoustic model, the normalized spectral features are transformed into 39-dimensional MIDA features, which are improved LDA features leading to decorrelation and diagonalization of the mixture components [34].
To develop this model, the normalized bias current and frequency are selected as the input parameters and the RIN and TEN of semiconductor lasers are selected as the output parameters.
By observing the curves, it can be concluded that, contrary to the classical model, the normalized critical electric potential depends on a size characteristic such as the nanowire height.
The Normalized Difference Moisture Index (NDMI) was chosen in both the GAM and the sigmoidal model, the Normalized Burn Ratio NBRR) was selected as another index in the GAM, while the common Normalized Difference Vegetation Index (NDVI) was selected as the only vegetation index in the exponential model.
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Through theoretical modeling, the normalized amplitude of fiber crimp via fiber diameter along with the aspect ratio of specimen dimensions are observed to be the dominant factors responsible for modulating the normalized mat modulus.
With the single-corner capillary models, the normalized threshold radius of the tubes with complex polygonal cross sections can be calculated by the superposition method.
Using probabilistic graphical models, the normalized least mean square algorithm (with fixed and adaptive step size), the Hammerstein group model and a numerical sampling scheme for nonlinear AEC can be represented in a unified way to serve as a powerful framework for future algorithmic development.
In the context of nonparametric models, the normalized version of the distribution function was first mentioned by Kruskal [ 17] and generally dates back to Lévy [ 18].
For mathematical modeling, the normalized peak intensities of treated samples were subtracted from those of control samples to eliminate effects of cell growth and obtain relative metabolite concentrations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com