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All artificial neural network methods and fuzzy logic model provided quite close estimations for the experimental values.
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The different models provided quite different risk estimates for preeclampsia for the same patient.
When measuring the microbial growth of each microorganism by optical density, almost all models provided quite high goodness of fit (r > 0.93) for all growth curves.
However, the regression of the residuals of the environmental models against geographical distance provided quite different coefficients in the two regions (Figure 3).
We show that a simple SNR-based reception model can provide quite accurate results for metrics commonly used to evaluate MAC protocols.
Those provided quite ambiguous results that were not implemented in the final geophysical model.
Using static weight models may provide quite different estimates in comparison to dynamic weight models.
It provided quite satisfactory performance for more than 9 years.
The SNR-based model, however, can provide quite accurate results for metrics commonly used to evaluate MAC protocols.
The RLS technique is simple to implement and provides quite satisfactory results in the presence of model uncertainties and measurement noise.
Different models with a different representation of displacements and interlaminar stresses are shown to provide quite different results in terms of displacements, contact force and damage.
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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