Sentence examples for modeling to generate from inspiring English sources

To overcome this limitation we present a method that employs Non-Uniform Rational B-spline (NURBs) based surrogate modeling to generate a very efficient representation of the combined constitutive and structural model response required for inverse characterization.

Here, we use widely accepted modern methods of ecological niche modeling to generate both current range predictions and future predictions based on models of global climate change, and compare these to the results of Rodda et al. [2].

Therefore, we rely on modeling to generate estimates by country and region, and for the world.

We used Hierarchical Bayes modeling to generate the mean relative importance score for each adverse event.

We used Hierarchical Bayes modeling to generate the relative importance score for each adverse event and examined the association between physicians' characteristics and the five most influential factors.

Specific focus was on PBPK modeling to generate information and kinetic parameters that may be used for verifying the models used in TCE risk assessment (Evans et al. 2009; Hack et al. 2006).

This may call for the use of more complex generative models to generate such textures.

We used GeneSpider and a linear model to generate datasets, while GNW has nonlinearities built in to its dataset generation.

(The Upshot team, at the _Times, _even allowed readers to use its model to generate their own forecasts).

He used computer models to generate the cosmic chords from creation for the first million years and condensed them to five seconds.

(The Upshot team, at the Times, even allowed readers to use its model to generate their own forecasts).