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Due to the complex nature of the outdoor airflow around the buildings in urban neighborhoods, a practical modeling approach utilizes multi-scale modeling to account for different spatial and temporal scales for the relevant transport processes.
The most common modeling approach utilizes systems of either Ordinary or Partial Differential Equations (ODE and PDE, respectively) that directly describe the evolution of global quantities or populations over time [8].
In addition, this modeling approach utilizes two simple characteristics of the reflectance: (1) an inverse dependence on the absorption coefficient, and (2) a linear dependence on the reduced scattering coefficient (for small diameter detectors).
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Nevertheless, the results of this study suggest that the reasonably simplistic modeling approaches utilized in this study may be applied at other field sites to estimate parameters and conceptualize dominant transport processes through highly heterogeneous, unsaturated material.
This project uses a spatial suitability modeling approach that incorporates fuzzy logic and utilizes both physical and economic variables.
We utilize a novel modeling approach to untangle the complex interactions between methylation and gene expression.
Again, a general linear modelling approach was utilized to account for IQ when examining group differences on the standardized language and behaviour measures, with just the summary scales being modelled in these analyses.
Three different geophysical modeling approaches were utilized in this study: 1. 3D unconstrained, heterogeneous density modeling 2.
Laboratory experiments, airborne experiments and theoretical molecular modeling approaches were utilized to identify and select reagent ions and to understand the ion-molecule reactions for the formation of peroxide-ion clusters in the ambient air matrix under tropospheric conditions.
The proposed approach utilizes orbital debris modeling techniques to effectively conduct prediction, detection, and classification of breakup fragments.
A new concept of connectivity constraint, along with a continuous modeling approach to obstacle avoidance, is utilized in building the navigation function.
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