Sentence examples for modeling framework which from inspiring English sources

In this study, we first developed a modeling framework which combines isotopic and kinetic models, while taking the system-wide KIEs into account.

Experimental numerical validation examples show the accuracy of the current modeling framework, which is suitable to be employed for modeling clinching joints.

Interfacing FLAME with COPASI provides an efficient multiparadigm modeling framework which links agent-based and mathematical (ODE) models.

One approach is a stochastic modeling framework, which represents each user as a stochastic process with a few states.

In [27], the authors develop the mFingerprint framework, which is user modeling framework which can uniquely depict user.

In this paper, we develop a modeling framework which permits to describe behavior of clamped DE strips in an analytical fashion.

The problem of characterizing global sensitivity indices of structural response when system uncertainties are represented using probabilistic and (or) non-probabilistic modeling frameworks (which include intervals, convex functions, and fuzzy variables) is considered.

To accommodate these issues, this paper proposes a Tera (to denote the order of millions -modeling framillions -modelingizes current technologies oframeworkomputing and Big data processing, for modeling a city, by allowhichinfinite resoutilizesd current intechnologies

In this work, we develop a cell population balance-modeling framework, which integrates biological detail at the single-cell level to accurately predict the dynamics of the distribution of cellular properties at the cell population level.

The resulting problem, which we will refer to as the Two-Stage Robust Network Design aimsConstruction Problem (2SRNDC), atms at providing a modeling framework in which the design decision not only depends on the design costs (e.g., distances) but also on the corresponding construction plan (e.g., time to provide service to costumers).

We present a novel system productivity simulation and optimization modeling framework in which equipment availability is a variable in the expected productivity function of the system.