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(b) NON-DPA with different seed values (49 nodes).
(a) DPA with different seed values (49 nodes).
Therefore, the result graph has been drawn with different seed values.
Different seed values were used for the generation of the training and the external sets.
For each graph data points, we take average value taken from 10 different simulation runs, with different seed values.
We run each simulation five times under different seed values, and take the average values as the final results.
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The BER evaluation process is then repeated 10,000 times with a different seed value for channel noise.
Each run uses a different seed value for random placement of nodes (relays and sources) and is executed for an extended period of time (about 1.5 million packets) to get stable results.
Each simulation was given a different set of initial velocities by supplying a different seed value to the random number generator, to generate different starting conformations for the umbrella sampling MD simulations.
This procedure is repeated 100 times with different random seed values and then the average estimate is calculated.
We run the simulation experiments 30 times with different random seed values and take the average of the results for each graph data points.
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