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In this paper, a three-dimensional-flow model and its modeling approaches are proposed.
These modeling approaches are classified into gross models and net models.
Qualitative and Hybrid modeling approaches are used to model the BRN for the dynamic analysis.
The correlation between PM2.5 and NO2 for this population was 0.37, and although both exposure models contain similar terms, the modeling approaches are quite different.
The differences in losses could be attributed to the fact that both modeling approaches are statistical without an underlying physical model as a foundation.
Modeling approaches are described from atomic scale to macroscopic scale of modeling material behaviors connected with martensitic transformation.
Previous modeling approaches are reviewed and their limitations identified.
Short comings of the modeling approaches are also highlighted.
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However, most of the background-modeling approaches are complex and time consuming for real-time processing [2].
Eight different surrogate-modeling approaches are evaluated using thirty-five challenge functions with various shapes and numbers of inputs.
Both sleep-modeling approaches are validated with respect to their ability to reveal a maximum level of correlation between sleep architecture and the factors computed from daytime measures of sleep quality.
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