Sentence examples for model them as from inspiring English sources

Still, few biological systems have been characterized sufficiently to enable researchers to model them as networks.

That is why most historians of the relations between science and technology prefer to model them as parallel streams, with interactions in both directions.

We first cast these problems as distributed constraint satisfaction problems (DisCSPs) and distributed constraint optimization problems (DisCOPs) and model them as distributed graph coloring.

The first approach to capture the global properties of such systems is to model them as graphs whose nodes represent the dynamical units, and whose links stand for the interactions between them.

Due to the fact, that some structural parameters, considered at design stage, are specified on the basis of vague, limited or imprecise information, it is required to model them as uncertain quantities.

From a theoretic viewpoint one could rightly argue that the requirement is absurd: by asking to include these variables among the arguments of the policy it implicitly affirms that they are state variables (in the two previous examples they describe the weather system or the catchment), but at the same time it does not intend to model them as such.

This paper explores how material properties can be included in computational design, by formally modelling them as weights in shape computations.

This is done by modeling them as MRFs with Gibbs energies, and a solution is formulated within a Bayesian solution.

Some popular stream clustering methods are density-based: they aim to find clusters of arbitrary shape by modelling them as dense regions separated by sparse regions [6, 13].

In this article, we solve these problems by modeling them as common mode noise and develop a localization algorithm based on a novel differential radio map approach.

This allows us to simplify the application profile by combining the individual short memory accesses and modeling them as a fraction of the duty cycle called access probability.