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In the proposed apparatus implementation, the maximum spouting velocity was almost eliminated for large particles (Geldart D), i.e. a highly coherent dense spouting can pass continuously into the dilute-like stable regime, without stability loss at intermediate gas velocities.
In the novel implementation the maximum M i is estimated from a sample of size S=10 of strictly positives values in [ T i, n +1,…, T i, m ] rather than calculated directly.
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We considered using RAxML [ 23], a fast and reliable implementation of the maximum likelihood phylogenetic approach and MrBayes [ 24] which implements the much slower but more exhaustive Bayesian approach.
In this paper a reconfigurable FPGA implementation for the maximum power point tracking (MPPT) in photovoltaic systems (PV) is presented.
The standard implementation of the Maximum Entropy Method (MEM) follows Bryan [1] and deploys a Singular Value Decomposition (SVD) to limit the dimensionality of the underlying solution space apriori.
Standard learning methods for such models employ a variety of heuristics applied to the expectation-maximization implementation of the maximum likelihood estimation procedure in order to find the global maximum of the likelihood function.
An implementation of the Maximum Recommended Therapeutic Dose (MRTD) set [26] including name, SMILES, and 166-key fingerprints.
Algorithm parameters setting in our implementation includes the maximum evaluations, the crossover probability, and the mutation operator, as shown in Table 7.
Table 2 gives the number of slices and BRAM blocks required for MB+FPU and OP implementation and the maximum frequency clock after place and route.
The generated Bayesian trees served as the basis for the implementation of the maximum likelihood methods of the PAML package of programs [ 41] aiming at detecting adaptive molecular evolution under specific models of codon substitution.
A bayesian phylogenetic approach was used to infer gene-tree topologies that also served as the basis for the implementation of the maximum likelihood methods of the PAML package ver. 4.3 [ 62].
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