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Experimental results show this model has higher classification accuracy in most of data sets.
Comparisons with the experimental results show this model is rather accuracy in frequency calculation.
We show this model is easier than the model of one bin type which is all 1 by giving an algorithm with competitive ratio Ω(1/log d).
Columns (3) and (4) show this model separately for the samples of individuals with at most a high school degree and with more than a high school degree, respectively.
We have explored various kinds of asynchronous pipelines, and their corresponding results show this model has reasonable accuracy in average (below 5%) and in variance, compared to the low level Monte Carlo Hspice simulation.
The equivalent model of a single cable is established through the experiment and simulation method based on the Bushing joints of ADAMS, and the results show this model is reasonable.
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Figure 5 shows this model.
As it shows, this model is a second-order Partial Differential Equation (PDE).
Chemical kinetic simulations carried out to assess the performance of an available kinetic model showed this model to be significantly less reactive than the experiments.
Figure 1 schematically shows this model and its potential use to determine the impact of variable insulin sensitivity on BG outcome for a given intervention.
Figure 4 (top, red line) shows this model overlaid on the tracked speeds.
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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