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This study evaluated the effect of spatial rainfall variability on water balance modelling by conducting a series of virtual experiments.
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They validate their model by conducting some set of experiments.
We validate the model by conducting an experiment using experienced tax professionals as participants.
Section VII evaluates our proposed model by conducting additional experiments on eight different financial time series with different sizes.
In this section, we evaluate the effectiveness of our model by conducting additional experiments based on our hybrid approach on different financial time series with different sizes.
We then develop the numerical model for simulating the operation of the system, and validate the model by conducting towing tank experimental tests.
Based on it, we examine factors likely to affect separation performance, and verify the predictions of our mathematical model by conducting tracer experiments.
The complex modulus of asphalt mixtures were predicted for both optimized models by conducting DE simulation under dynamic strain control loading.
We intend to expand the capabilities of the model by conducting further software simulations that analyze and visualize topographic change over time using the varied densification of anchor points.
To demonstrate the usefulness of the proposed model, we compared the discriminatory power of decision-making models that utilize RS -and LR-based decision models by conducting 10-fold cross-validation.
The authors empirically tested this model by conducting a longitudinal computer-aided content analysis of 255 documents addressing different environmental and innovation aspects in this industry in the same period of time.
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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