Sentence examples for both models are evaluated from inspiring English sources

The performances of both models are evaluated first by using Monte Carlo numerical simulations and second by handling a chemical process known as the Continuous Stirred Tank Reactor CSTR.

Profiles of both models were evaluated confirming similarities and identical approximate behaviours.

Both models were evaluated using huge volumes of real tick data from the NASDAQ, which demonstrated that both are able to identify a range of disruptive trading behaviours and, furthermore, that they outperform the selected traditional benchmark models.

The efficacy of both models is evaluated by performing a case study of a five-axis gantry machine, whereby calibration plans are produced and compared against both an academic and industrial expert.

Both models were evaluated, giving good PROSA scores (−4.88 for wt and −5.25 for mutant).

The predictive performance of both models was evaluated by calculation of the true positive fraction (TPF, or sensitivity) and of the false positive fraction (FPF, or specificity).

The influence of the random effect in both models was evaluated by comparing the intercept S.D. to the residual S.D., as recommended in [64].

The selectivity of a subset of enzymes, that were essential in both models, was evaluated with the reduced fitness concept.

The performance of both models was evaluated according to a previously published framework for the validation of pediatric population models, and the results of this evaluation for the system-specific model (A) were compared with the results obtained for the reference model (B).

The developed estimation models are evaluated using different evaluation metrics.

Test results are analyzed in Section 3, and the audiovisual quality models developed using the results are presented in Section 4. In this section, the impairment-factor-based models are evaluated against both known (training) and unknown (evaluation) subjective test data, and are compared with quality-based models trained on the same subjective data.