Sentence examples for the model predictability from inspiring English sources

The measured panel vibration responses, and the radiated acoustic pressure levels were found to agree well with model predictions at frequencies above the model predictability threshold.

Sensitivity analysis shows that for conventional, petroleum-derived real fuels, the uncertainties in the experimental measurements of C2H4 and CH4 impact model predictions to an extent, but the largest influence of the model predictability stems from the uncertainties of the foundational fuel chemistry model used (USC Mech II).

The fit of this model and the model predictability are quite satisfactory.

Overall, the results showed high accuracy of the model predictability of tunnel convergence with MARS showing a light lesser accuracy.

Three model selection criterions are also employed to assess the model predictability: Akaike information criterion (AIC), Bayesian information criterion (BIC), and a modified model selection criterion (MSC).

A new analytical formula for the model predictability horizon is introduced and applied to estimate the limit of predictability for the ocean model.

This QSABR equation can explain and internally predict 86.5% and 80% of variances of the activation barriers of the studied training reactions and it can produce 88% of the external model predictability for the test reactions.

Alternatively, the lower model predictability of sotalol pharmacokinetics seen in neonates indicates the need for a more cautious use of model-generated data in this age group, acknowledging that the final judgment depends on the purpose of the model and the properties of the modeled drug.

These hypotheses were tested in our model but no improvements were observed in the accuracy of model predictability.

The impact of hillslope topography on the modeling of coupled soil moisture was highlighted by configuring the threshold behavior of model predictability.

The average partial ROC AUC ratio for the combined sylvatic and domestic suitability estimate was 1.28 (range 1.20 – 1.36), where 0 of 1000 iterations resulted in a ROC AUC ratio ≤1, suggesting a consistently good degree of model predictability for the reported ASF outbreaks.