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During the second half of the twentieth century (until the 1990s), the Continuous Time Random Walk (CTRW) method was practically the only tool available to describe subdiffusive and/or superdiffusive phenomena associated with complex systems for many groups of research.
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The developed method is practically compared with an available bond graph-genetic programming (BGGP) method via designing an aerospace engine mount system.
The average relative error is estimated at 4.5 10%, demonstrating that the PP method is practically effective for experimental measurements of Dm.
The updating time for the visualization is less than 2 s, and the method is practically suitable for the on-line monitoring of combustion in a furnace.
Lower detection limits of the method were practically estimated to be 0.04 and 0.08 mg·mL−1 BSA in the absence and in the presence of 2.5 mg·mL−1 SDS, respectively.
However, the results show that the proposed method is practically reliable.
None of the method is practically effective for its eradication and control.
Therefore, multi-resolution search and the EAF-MR optimization method are practically applicable in a large-scale RF front-end.
The results show that the proposed method is practically reliable and consistent in comparison with other mentioned methods, and using the Tikhonov regularization method for solving the final ill-conditioned algebraic system, the rate of convergence improved.
Although ROCs curves are widely used, their capability of evaluating the performance of a given method is practically reduced to a single scalar value defined as the Area under the Curve (AUC).
It is evident that the difference map for the "scaling" method is practically zero for every point of the entrance pupil.
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