Sentence examples for as represented by the model from inspiring English sources

This allows analysts to prove that a human automation interactive system (as represented by the model) will or will not satisfy safety properties with both normative and generated erroneous human behavior.

Error due to selecting a random sample of individuals from a hypothetical infinite population of potential Twitter users, as represented by the model, is expressed by the 95% confidence intervals, whereas error due to misclassifying sentiments is captured by the 200 randomly reclassified samples.

As shown, for the 9.9 MPa load, the gap between the upper and lower limits related to the lifespan is rather large, however, as represented by the model, the point is located in the curve stabilization region, where small variations on the load, in the same order as the equipment's resolution, would have a strong influence on the joints lifespan.

The composite Sverjensky fluid, as represented by the model results in Table 10 and Fig. 2 and 3, barely qualifies as a modern low trace-metal/high ∑H2S brine and it is not far removed from modern high trace-metal brines that have total Zn content and ∑H2S near the lower limit (1 mg L-1) and upper limit (0.1 mg L-1), respectively, for this brine category.

In most species, the stalk is filled with motile stalk cells, as represented by the model organism Dictyostelium discoideum, whose developmental mechanisms have been well characterized.

A reunified Germany, at the heart of an expanding European Union and single currency, was supposed to offer a decent, stronger alternative to the "casino capitalism" that Germans have long thought of as represented by the US model that they love to hate.

It was observed that the system followed pseudo second order, intra-particle diffusion and Elovich models as represented by the R2 values of the respective models.

The effect of phenotypic assortment is included in the model as represented by the co-path i.

All of these quantities depend not only on the basic disease characteristics, such as the transmission rate and the average infectious period, but also on the distribution of the infectious period as represented by the number of stages in the model.

Moreover, we are not only interested in the dynamic interrelationships (as represented by the autoregressive coefficients in our model) but also in the contemporaneous associations.

The accuracy of a model is determined by the ability of the corresponding model predictive controller to control important process variables in the grinding mill circuit as represented by the full non-linear cumulative rates model.