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A complete architecture for building future complex smart cities based on the systems thinking paradigm and using self-regulating MAS integrated with fog computing for implementation is currently under preparation.
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For the two scales with two-factor solutions, mean scores and pre- and post-implementation comparisons were computed for each factor.
In BicPAM implementation, the nearest neighbor rows and columns are computed for the estimation of each missing value.
However, it is worth noting that there are four convolutions to be computed for all pixels of the whole image domain during each iteration in the implementation.
To further quantify any potential error introduced in the implementation, the relative error E[ i r][ i z] is computed for each voxel using Eq. (1).
In this paper a universal reconfigurable computing architecture for hardware implementation of homogeneous and heterogeneous ensemble classifiers composed from decision trees (DTs), artificial neural networks (ANNs), and support vector machines (SVMs) is proposed.
That does not compute for most people.
Part of the reason for the lack of parallel implementation of SpMM in generic software packages is that the best implementation for computing SpMM for a particular matrix A depends on the sparsity pattern of A. In this paper, we present a simple yet effective implementation to compute SpMM for a matrix A that represents an undirected network.
A new modification of Kaliski's algorithm for computing the Almost Montgomery Inverse, optimized for implementation in hardware, is presented.
Initial VMs capacity for the vCell is computed from the implementation of equation 9.
This paper proposes a master/slave parallel computing architecture and studies the computation of CA in a large-scale power system through high performance computing, adopting a message passing interface for implementation.
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