Sentence examples for calibrated on data from inspiring English sources

The results indicate that a simple linear relationship with a zero intercept, calibrated on data ranging from 0.1 to 0.5 g-TAN m−3, is most suitable for the representation of the mesotrophic/oligotrophic performance of nitrifying biofilters based on a comparison of SSE for both the Monte Carlo and field data analyzed herein.

Another alternative is control-chart methods, which may be calibrated on data from recent months rather from previous years [ 27].

Compared to most other scoring functions HYDE is not calibrated on affinity data, we use octanol/water partition data of small molecules for calibration.

According to this strategy, the model of mosquitofish population dynamics was calibrated on real data from two different years of experiments, and validated on real data from another independent year.

The model is calibrated on empirical data collected through online surveys.

The fitness of a local discrete-structured population is measured by the dominant eigenvalue λ1 of its matrix model, L, calibrated on empirical data.

Regarding the constitutive modelling, basically relations typically discussed in literature for the applications under consideration are applied, and are calibrated on experimental data.

The non-linear elements of the models have been calibrated on experimental data available in literature to reproduce the actual hysteretic behaviour of both masonry and floors.

Fatigue criteria based on elastic and plastic shakedown concepts for finite and infinite lifetime are used to predict fatigue crack initiation and are calibrated on experimental data related to 316L stainless steel μm-size components, manufactured as stents.

A comparison with the Beremin criterion calibrated on experimental data, shows that the computed fracture probability dispersion induced by the stress heterogeneities is of the same order than the measured dispersion.

Results show that in case of very few data (Cilento region) mixed technologies (e.g. boostrap, principal component regression, and genetic algorithms) are required to keep the validation error comparable to that of the single networks calibrated on more data (Campania region).