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The gained statistical simulation results enabled 50% reduction in the hardware overhead of the implemented memory scrubbing technique without loss in fault-tolerance.
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Statistical and simulation results have been compared with already existing differentiator design methods such as segment rule, genetic algorithm (GA), simulated annealing (SA), pole zero method (PZ) and particle swarm optimization (PSO).
Statistical analysis of simulation results is performed and condensed in meaningful probabilistic indices for objectively measuring comfort reliability.
We perform statistical analyses on simulation results, obtaining useful hints for the design of ascending combinatorial formats.
We analyze the statistical spread of simulation results on ensembles of the virtual geometry, both uncompressed and compressed.
Statistical analyses of simulation results are presented in the next section to assess the impacts of proposed geometry descriptors and demonstrate their relationship with performance metrics in immersive or near-field applications.
A statistical comparison between predicted simulation results and mass flow rate experimental data are reported.
As mentioned above, the conventional statistical methods for the simulation results are hard to reveal some key information.
Furthermore, statistical analysis of the simulation results is performed to calculate the comparative reliability of various techniques.
Statistical analysis over the simulation results has been performed to quantitatively identify the range and its control parameter.
Statistical analysis of the simulation results confirmed the expectation that dip controlled the intensity of natural convection and aided forced convection at moderate production and injection rates.
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