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The results are in good agreement with data obtained by other methods in our laboratory as rotating disc, coulostatic and linear potential scan measurements.
We thus argue that laboratory experiments should be used if they yield additional evidence unattainable by other methods in a particular field of study.
Even for large sample size (n=60), the MSEs of the ML estimators are larger than those obtained by other methods in most cases.
Validation has been done by comparisons between the results obtained by the proposed method and by other methods in the literature.
It is inspired by the visual perception mechanism of the human visual cortex, and satisfactorily addresses the disadvantages encountered by other methods in the area.
Note that these thresholds and percentages can be obtained by other methods in reality, such as the historical traffic trace about the network resource utilization as in [11] and the anticipative necessary network resource based on some traffic prediction techniques.
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Our experiments show that the dosage regimen assigned with our data-driven method significantly improves the percentage of healthy patients when compared to results by other methods used in clinical practice and found in literature.
Because error rates estimated in this way may be affected by other methods included in the analysis, we considered which (and how many) methods should be included, the (in dependence between these methods, and the robustness of the final result obtained.
Obtained values were compared to those calculated by other methods reported in the literature, obtaining similar results.
The proposed method was tested with different electric system topologies and the estimated impedance was compared with the impedance estimated by other methods found in the literature.
Comparison of this method and some of the previously reported preconcentration methods (Table 7) shows that the LOD and preconcentration factor of this method is comparable or better than achieved by other methods described in the literatures.
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