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The destination/mode choice model uses three main modes: car, public transport (PT) and bicycle.
MAT_072R3 is a three-invariant model, uses three shear failure surfaces, and includes damage and strain-rate effects (LSTC 2013b).
The model uses three world states (WS) as inputs for: Open image in new window Fig. 1 Overview of the computational cognitive agent model.
Although the original model uses three features, including color, intensity, and edge information, we use only intensity and edge information because our datasets were in grayscale.
The model uses three air nodes and focuses on the thermal plumes as the drivers of the airflow and room air heat exchange.
Our present 3D MHD model uses three continuity equations in order to consider protons in the solar wind and the two dominant heavy ion species (O+2 and O+) in the ionosphere, separately.
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So the final model uses five discrete values per dimension.
The model uses two virtual machines in four possible places: VM1_ON, VM1_OFF, VM2_ON, and VM2_OFF.
As noted earlier, the double-hurdle model uses two equations: participation and consumption equations.
The model uses nine predictive variables which measures firms' size, leverage, liquidity, and performance.
The model uses five financial ratios to predict bankruptcy of the firms.
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