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Modelling this behavior in Shark is complex, and additional workflow management functions have been implemented to make this an efficient task.
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By modeling this behavior, we can infer a crowd density estimation.
The Langmuir, Freundlich, Temkin and Dubinin Radushkevich adsorption isotherms were used to model this behavior.
For example, since the degradation behavior was of particularly important, it was necessary that the selected simulator could model this behavior.
In order to model this behavior, we first develop and implement a micromechanically-based nonlinear model for hyperelastic composites.
We use cellular automata (CA) to model this behavior as it has been used as a default model for various biological systems.
In this paper the authors have attempted to model this behavior using higher order cubic conservative and non-conservative terms in the constitutive equations.
To model this behavior using polycrystal plasticity, the critical stress to activate twinning (especially the strain hardening thereof) must be decreased.
While the underlying mechanisms governing thermal spallation in rock have been known since the 1930s, our ability to model this behavior remains largely empirical.
To model this behavior in the simulator, we used the delay parameter in the link layer module (LL) of ns2, which introduces a delay on both incoming and outgoing packets between the MAC level and the higher levels.
The expression for modeling this behavior is given by the following formula, where the average number of NeMHIP association update requests sent by the MNNs is computed as λ MN N update = η MNN μ d N MNN M λ SA (2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com