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For this, we apply a recently proposed distance function for comparison of fuzzy numbers.
Lastly, an actual fault event is evaluated to validate the proposed distance relay algorithm.
The performance of the proposed distance formula in comparison with the normalized Hamming, normalized Hamming based on the Hausdorff metric, normalized Euclidean and the signed distances is evaluated.
It is found that the proposed distance ranking procedure yields the best Pareto optimal set when compared to other non-dominated sorting procedures.
Moreover, a structure stress based fusion scheme is applied to formulate the proposed distance metric, i.e. CSG-EMD, for gesture recognition.
It aims to improve the performance of the superpixel earth mover's distance (SP-EMD), a recently proposed distance metric designed for depth-based hand gesture recognition.
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The radial basis function (RBF) based parameterization technique is combined with mathematical programming to improve the performance of the proposed distance-regularized topology optimization method in handling problems with non-convex objective functions and multiple constraints.
Section 3 introduces the proposed distance-based feature extraction method.
The proposed distance-based feature extraction method can be divided into three main steps.
Consequently, we will calculate the proposed distance-based features by utilizing the three distance metrics for the analysis.
In this article, we will utilize three popular classification techniques, namely, naïve Bayes, SVMs, and k-nearest neighbor (k-NN), to evaluate the proposed distance-based features.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com