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Finally, the consistency between prediction and simulation in the difference in extruded fin lengths is confirmed.
Figure 7a demonstrates the physical collision probability without retries as a function of N s for comparisons between prediction and simulation data from 802.11, 802.11e and 802.11aa, where a common value of initial contention window (W = 32) was adopted and only a single saturated CBR flow was sent, via AC_BK in the case of the latter two and thus they share the same results.
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(4) and (5), and a good agreement in Pphy_col (802.11) was obtained between the prediction and simulation data (ns-2), with differences around 1~3%%.
The proposed methodology was used to predict the nonlinear dynamic response of a 2-dimentional free standing catenary riser exposed to a random ocean wave load, and the comparison between the prediction and simulation results was made on the probability distribution of the maximum excursion of riser top.
The percent error is computed as the de novo synthesis (green dots), fission (red dots), and fusion (blue dots) rate constants are varied to tune the mean organelle abundance from
The three main steps involved in evaluation are: (i) identification of a suitable metric (such as the area under the ROC and root mean square between prediction and measurement); (ii) simulation of a null distribution for the chosen metric by evaluation of randomly sampled predictions; and (iii) assignment of a P-value for a prediction with respect to the null distribution for the metric.
The performance of the neural network is similar to those obtained in the previous section, as summarized in Table 1 (model 2): The variance reduction is even slightly larger (around 45%), as well as the coefficient of determination between predictions and original simulation results (0.86).
The linear theory analysis, initial conditions, algorithm description, and comparisons between theoretical predictions and simulation results are presented.
Comparisons between predictions and experimental results validate the used numerical simulation method.
The simulation model is validated through comparisons between predictions and measurements of the parameters associated with the compressor efficiency, temperature distribution and motor performance.
Computer simulations of RNA evolution are conducted to verify our formulation, and the results show a good agreement between the analytical prediction and the simulations.
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