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Hydrological modeling is explored as an operational tool for effective assessment of changes in hydrological processes relating to modification of land cover and climate change.
The use of level sets in premixed turbulent combustion, aero-acoustics, geometry definition/morphing, meshing and turbulence modeling is explored in detail and other applications discussed.
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Forty modeling techniques, including ensemble modeling were explored to identify the set of best performing models for different attribute sets.
Since the rules of differential display were applied to analyze the clinical data, an alternative approach of empiric disease modeling was explored in this patient cohort.
The behaviour of the model is explored numerically.
Vertex-centric model is explored by initial works such as GraphLab [13] and Pregel [15].
In addition, the applicability of the two beam models is explored by numerical simulations.
Second, the number of modes required for a 'minimal' model is explored.
Furthermore, the application of the papiNet standard with these data models is explored.
A functional binary choice model is explored in a case-control or choice-based sample design context.
This model is explored in a case study of a technological system for collaboration between police and citizens in The Netherlands.
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