The first channel models we implemented on the FPGA-based vehicular emulator are described in [14].
For feature selection in predictive models, we implemented a RFs voting procedure that can be used for the variable rankings according to their importance in RFs models [45, 65, 69].
To compare our experimental results and simulations to the predictions of other tVOR models, we implemented three of these prior models in Simulink: 1) Telford, et al. [40], 2) Green and Galiana [27], 3) Angelaki, et al. [25].
To evaluate the added discriminatory power in multivariable Cox models, we implemented a Cox model only including age and gender, yielding a significantly lower C-statistic of 0.843 (p < 0.001).
In our model, we implement these measures as follows.
Using a linear viscoelastic finite element model, we implement a corresponding time-dependent adjoint sensitivity formulation.
Since the aerial perspective rendering of Eq. (10) is an RGB-based model, we implement it on a GPU at a fragment level.
In order to be consistent with the previous permeability model, we implement the improved stress-based model into the reservoir simulation model.
To test the model, we implement a Virtual Actor embodied as an avatar in a specifically designed virtual environment, and use several paradigms of its social interaction with humans.
Therefore, to circumvent the problem of the resulting large-scale model, we implement a Monte Carlo simulation approach based on the sample average approximation (SAA) technique to generate the scenarios.
