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Therefore, an adjustable baseline pairing algorithm is established for further enhancing the image quality, and the optimal design procedure in SPIDER for arbitrary targets is also summarized.
Random pairing algorithm is a feature that improves system flexibility.
An optimal user pairing algorithm is proposed and tailored to maximize the network capacity.
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We have shown that the top-scoring pair algorithm is able to generate statistically significant and accurate gene expression classifiers from microarray data.
Let f a(i) denote a frequency (FR) calculated as an abundance of a given amino acid a at the positions corresponding to i in closely related organisms, then: sCON sequence similarity conservation using Sum-of-Pairs algorithm is calculated by the formula: s C O N a (i ) = K s ∑ b = 1 21 f b (i ) S a b where { S ab} is an amino acid substitution matrix (eg, BLOSUM62).
Furthermore, the long-term fairness performance of the proposed pairing algorithms was evaluated by averaging Jain's fairness indexc over all location sets.
To balance the workload among those nodes, Split, Merge and Pair Algorithms are implemented to regulate physical machines while Resource Reallocate Algorithm is designed to regulate virtual machines on cloud.
In this section, a greedy relay pair selection algorithm is introduced.
When comparing these two algorithms, the proposed greedy relay pair selection algorithm is an order of magnitude less costly.
NoThethough, that the matrix operationumber nof definitely the most efficient way of impairsntheion.
A greedy relay pair selection algorithm is then developed to reduce the high cost brought by the exhaustive search that is required when a large number of relays are involved in the transmission.
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