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The method is represented as the following formula: SM-CHI=LF t)*CHI(t)*SM-CHI=LF t
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In Figures 16~19, the performance of the proposed method is represented by the point for each condition, while that of the existing method is represented by the curve.
The pseudocode for the GA method is represented in Fig. 2.
More precisely, the AUC value obtained by the integration method is represented in ordinate, while in abscissa we have the AUC value achieved with finet, i.e. the best single network.
The resulting method is represented as a pattern system.
The original VLAD method is represented by calculating the residuals between the centroids and the local feature points.
The equation for the Kubelka-Munk method is represented by F R) = (1 − R 2/2R, where R is the reflectance and F(R) is the absorbance [29].
The correlation built by the least squares method is represented as follows: varepsilon_{text{s,b}} = 1.7715{Re}^{ - 0.0714} varepsilon_{text{s,0}}^{1.8669} (5)where ε s,b means the solid holdup of the fluidized bed.
The total entropy of each clustering method is represented by The higher the entropy is, the lower the homogeneity.
The main advantage of this transformation method is represented by the shoot regeneration efficiency, which is higher than that achieved by organogenesis using lateral axillary shoots or leaf.
The results of the primary antimicrobial analysis of the nano specimens using disk diffusion method is represented in (Fig. 6).
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