In this manuscript, we present a minimalistic network Monte Carlo based approach to model actin filament organization under cyclic stretching.
A physically based approach to model vehicle dynamics, transient engine performance and engine thermal management system is presented.
To overcome this limitation we developed a generic remote sensing and geophysics based approach to model regolith thickness for areas with limited possibility of direct field observations.
We adopt the activity based approach to model the problem and we focus on the logistic decisions of activity location, technology choice, supplier selection, etc., and the financial decisions of transfer pricing, transportation costs allocation, etc.
We propose a quantitative fuzzy graph based approach to model the cause effect relationship between system faults and sensor measurements; analytic hierarchy process (AHP) was used to aggregate the heterogeneous properties of the sensor fault relationship into single edge values in fuzzy graph, thus quantitatively determining the sensor's detectability to fault.
In this paper, we describe an architecture that defines a service-oriented, Web service-based approach to model management.
Sensitivity analyses will be performed to assess the robustness of the primary analyses, including repeated measures with baseline observation carried forward, and multiple-imputation techniques (with the latter using model based approaches to 'replace' missing data).
Sutherland et al. used several descriptor-based approaches to model the activity of the benchmark set (presented in Table 4 and 5) using partial least squares (PLS) [14].
A few researchers have proposed IRT-based approaches to model item responses in considering the above mentioned test-taking behaviors (e.g., Bolt et al. [2002]; Yamamoto and Everson [1997]).
