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In this manuscript, we present a minimalistic network Monte Carlo based approach to model actin filament organization under cyclic stretching.
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.
A physically based approach to model vehicle dynamics, transient engine performance and engine thermal management system is presented.
Recently, multiple works proposed "multi-model" based approaches to model nonlinear systems.
In this paper, we describe an architecture that defines a service-oriented, Web service-based approach to model management.
At microscopic levels of simulation (across any field size) each vehicle is treated as an individual entity, which greatly increases the computational requirements of the system but provides a more realistic and component-based approach to modelling.
Here we present an agent-based approach to modelling a crucial biological system – the intracellular NF-κB signalling pathway.
In this paper we discuss an extension to a model-driven engineering (MDE) based approach to workflow modelling.
We adopt an ingredients based approach to form models of what each intervention would cost in 6 world regions over a 10 year period discounted at both 3% and 6% from both the governmental and societal perspectives.
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