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If the model can efficiently represent the relevant features of the data, the modeling step dramatically reduces the number of columns in the data matrix (data reduction) without loss of relevant information or generation of artifacts.
Our model can efficiently and effectively handle multiple ordinal classes.
Experimental results show that the proposed model can efficiently segment images with intensity inhomogeneity and Poisson noise.
The variable-index model can efficiently quantify these transitions, with the scale index varying linearly in time or space.
The model can efficiently capture flow evolution and vortex generation for random geometry and variable boundary conditions.
The proposed model can efficiently predict teamwork performance to maintain appropriate mental workload as well as ensure system safety.
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Population dynamics models can efficiently simulate behavior and dynamics of aquatic organisms [4 6].
The finite element models can efficiently predict the plastic damage in the coped steel beam used in beam-beam connections.
The resulting Pearson correlation coefficients values above 0.96, summarized in Table 5, demonstrate that the application-orientated models can efficiently replace the individual models.
It was shown that the present models can efficiently reproduce different stress states, varying from uniaxial to tri-axial tensions, observed in experimentations.
The rule-based modeling can efficiently generate 3D city models and has a great potential in supporting urban planning and city design.
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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