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The performance of CDAC in terms of accuracy and efficiency were extensively analyzed and discussed using different user-defined parameters, mechanisms with different surrogate components and number of species as well as different meshes with different number of grid cells.
For this problem, each possible solution is a collection of redundancy strategies, type of selected components, and number of components in parallel for each subsystem.
Average amplitudes of the meridional (top) and zonal (middle) components, and number of data (bottom) in each mesh grid are shown.
Average amplitudes of the meridional (top) and zonal (middle) components, and number of data (bottom) in each mesh grid are shown Fig. 12 zMR amplitudes between typhoon and non-typhoon cases.
Average amplitudes of the meridional (top) and zonal (middle) components, and number of data (bottom) in each mesh grid are shown Fig. 11 Comparison of average MR amplitudes between typhoon and non-typhoon cases.
We first studied the effect of increasing the size of the visual dictionary (from 2 to 4096 components) and number of regions (from to ) on the LFW view 1.
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As evaluation metrics we used size of giant component and number of covered users.
As evaluation metrics, we used the size of giant component and number of covered users.
We calculated three network attributes, i.e., number of edges, size of the largest component and number of isolated nodes.
In order to evaluate network connectivity of these 24 sub-networks, we measured three network attributes, i.e., number of edges, size of the largest component and number of isolated nodes.
Redundancy allocation problems (RAP) are an efficient approach for improving system reliability that generally involves the selection of components type and number of redundant components to maximize system reliability under certain constraints.
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