Sentence examples for modeling frameworks and from inspiring English sources

and to what extent the choice and/or the design of explanatory variables and their nature affect the performance of modeling frameworks?, and report on our findings.

We discuss performance modeling frameworks and challenges for ICNs, with a particular focus on content flowing through a network of caches, drawing analogies and distinctions from past research in both circuit-switched and packet-switched networks.

Gain an overview of modeling frameworks and the art and science of modeling decisions.

We also show how this complexity is hidden by common measures and/or modeling frameworks and identify what kind of features can modulate or constrain it.

The development of improved linkages across the source-to-outcome continuum including the areas of chemical transformation and metabolism, better diagnostic/prognostic molecular markers, improved dose metrics, characterization of toxicity pathways, systems biology approaches, modeling frameworks, and uncertainty analysis is a major objective of the science of computational toxicology.

In the meantime, its core philosophy remains very old, advocating that everyone should be writing codes of his or her own simulation models in order to explore highly unique, novel modeling frameworks and analysis methods, just like what complex systems researchers used to do in the twentieth century.

The design problem is formulated within the LPV polytopic modeling framework and solved using LMI optimization techniques.

He is interested both in methodological developments, summarized in the core-box modeling framework, and in concrete modeling of biological systems related to glucose homeostasis.

However, unlike SQN and SWAN, BMIQ is based on an explicit beta-mixture modeling framework, and uses state-membership probabilities under this beta mixture model to reassign the quantiles of the type2 probes according to the type1 distribution.

As an example of these methods, we consider a simple delay-differential population modeling framework, and we examine three related process-based demographic models that encompass both male and female individuals.

We believe that in the coming future, hybrid models, which consist of modeling framework and experimental technique specific sub-modules, will provide the necessary compromise between quantitative/qualitative accuracy and scalability for the investigation of large biochemical networks [ 47].