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Based on the experiments, the effectiveness of the algorithm is examined.
The algorithm is examined in fixed and mobile environments with multiple Physical (PHY) layer technologies (DSSS, FHSS, and OFDM) using different MAC layer protocols (IEEE 802.11, IEEE 802.11b, and IEEE 802.11g).
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Convergence properties of the algorithm are examined, and the stopping criterion for the iterative process is developed from numerical experiments in a simple case.
Characteristics of the algorithm are examined through analyses and simulations to demonstrate that it has advantages over those of previous works in dealing with the above challenges.
Any unusual prescriptions found using the algorithm were examined manually.
The accuracy of the algorithm was examined in high power fields and was deemed acceptable by a histopathologist.
The performance of the algorithms is examined with respect to memory space usage, linearization accuracy and algorithm execution time.
The performance of the algorithms is examined in this problem set, which includes an instance of the watchman route problem with restricted visibility range.
A wide range of values for the basic parameters affecting the performance of the algorithms is examined in order to designate the most efficient algorithm for each setting of parameter values.
The performance of the proposed algorithm is examined based on the confusion matrix and false recognition probability (FRP).
Specifically, in the study, the optimization algorithm is examined based on two groups of datasets, dyslexia and healthy subjects to verify the ability of the algorithm that enhances the quality of signal activities in the interested regions of the brain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com