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Soil Surface Roughness (SR) provides a representation of surface variability which can be an important factor in a range of modelling applications such as surface water flow and sediment/nutrient transport.
Atomic charges are frequently used in molecular modelling applications such as molecular dynamics, docking, conformational searches, binding site prediction, etc.
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Resulting surfaces are useful for a variety of landscape-scale modeling applications, such as the prediction of potential hillslope failure, hydrologic flow paths, and vegetation patterns.
The advantages of using knowledge based neural network modeling are demonstrated with two microwave modeling applications such as characteristic impedance modeling of thin-film microstrip line and parametric modeling of the differential via holes.
The authors conclude that while it is possible to adapt the model to extract quantities according to existing specifications for manual-based measurements, the adjustments are not without its implications in other model applications such as visualization or drawings.
The improvement of our approach, compared with classical subdivision methods, is illustrated on geometric modeling applications such as computing intersection points of implicit curves, self-intersection points of rational curves, and on the classical parallel robot benchmark problem.
Additionally, we have developed MATLAB scripts to evaluate the model's predictive accuracy and to demonstrate basic model applications such as simulating aerobic and anaerobic growth.
In addition to the GEM and GENRE SBML files, we have developed MATLAB scripts to evaluate the model's predictive accuracy and to demonstrate basic model applications, such as simulating aerobic and anaerobic metabolism with Yeast 5.
A thick ring on a unilateral elastic foundation can be used to model important applications such as non-pneumatic tires or bushing bearings.
Uses these methods and models in applications such as syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization.
Repeated evaluations of expensive computer models in applications such as design optimization and uncertainty quantification can be computationally infeasible.
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