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The recovery behaviors can be separated into two groups based on the Vc 2 value; 50 V for the SGHFET and 60 V for MISHFET.
In addition, the secondary level control based on the VC [21, 22] is designed for the VSC in micro grid to balance the grid voltage with the unbalanced load conditions.
Likewise, when moving to another attachment point, the host will issue a message to its gateway reporting the new locator, and the en-route router will insert a related FIB entry based on the vc and incoming interface.
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The top gene shows the highest rank based on the highest VC value and the bottom gene shows the lowest rank based on the lowest VC value; that is, (6) Sorted VC = { VC n } ; 1 ≤ n ≤ φ s.
Apart from Video Egg's merger with Six Apart which was largely based on the shared VCs doing some financial engineering, with these deals, we saw examples of both vertical and horizontal integration.
SVM [ 11], a prevailing statistical learning algorithm for machine learning, is proposed by Van pick based on the Vapnik-Chervonenkis (VC) theory and structural risk minimization (SRM).
Practically, support vector machine (SVM), which is a novel statistics learning algorithm based on the Vapnik-Chervonenkis (VC) theory and structural risk minimization (SRM), has been widely and successfully applied in gait classification for assessment of change of gait function [ 11– 11].
The following is a model of optimal prey defence and signaling based on the factors visual conspicuousness (VC) and olfactory signal/defence (OSD).
Based on the accumulation of vinyl chloride (VC) and limited production of 1,1-dichloroethene (1,1-DCE) and 1,2-dichloroethane (1,2-DCA), the dominant degradation pathway was likely abiotic dichloroelimination to form VC. Degradation of VC was not observed based on the accumulation of VC and limited ethene production.
Therefore, we propose in the 'Estimation of the victim user channel' section a novel approach to estimate h k vc based on the distance from the base station to the cell-edge.
Applying the theory of uniform convergence to the auto-scaling problem domain concludes that the convergence rate bounds in the auto-scaling domain are based on the complexity (i.e., VC-dimension) of the regression model that is used in the Predictor component.
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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