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Besides, a Non-linear Regression (NR) is also presented using the same simulation results.
Then, using the same simulation protocol, the binding mode of salacinol and its derivatives has been predicted.
The transition method is first validated by comparing DD and ASs of interactions with one precipitate using the same simulation conditions and, then, applied in massive DD simulations for the prediction of hardening as a function of precipitate size, density and shear resistance over a large range of temperatures.
Comparisons are made between RCFE and PBFE using the same simulation setup of Figure 1.
For fairness, all protocols are compared using the same simulation setup.
To do so, we assume here CBR traffic flows with 20 and 40 active MUEs using the same simulation parameters provided in Table 1.
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Using the same simulations, we also compared the performance of the Bayesian approach to the performance of the frequentist Hayne method based on linear regression.
We have used the same simulation parameters as we used in simulating the eigenvalue ratio detectors except that the input signal is amplitude modulated so that it shows cyclostationary behaviour and the SNR is −5 dB.
We use the same simulation setup as in Figure 4.
We basically use the same simulation scenario as used in Section 6.1.1 except.
We use the same simulation parameters as in Figures 5 and 6 but we set the SNR to 13 dB.
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