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Based on the hierarchical structure of the network, an energy-efficient pair selection algorithm is proposed to select the best pairwise synchronization sequence to reduce the overall energy consumption.
Then an adaptive algorithm is proposed to select the significant basis functions from the kernel function.
Based on the derivation, an algorithm is proposed to select the amplifiers and the DCFs so that the accumulated ASE noise along the link is minimized while the power and the dispersion are constrained.
Finally, an algorithm is proposed to select the kernel term and its associated terms as term clusters to represent the hot topics with multi-facets expression.
In this paper, a novel cross-layer prediction-based algorithm is proposed to select the best possible service channel to decrease collisions beforehand.
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A feature selection algorithm is proposed to deal with the high dimensionality and select discriminant fluorescence wavelengths.
Finally, a matching algorithm is proposed to evaluate the patterns.
A heuristic algorithm was proposed to realize our method.
Genetic algorithm technique is hereby proposed to select the various feasible values of the unit failure and repair parameters.
Hence, a genetic algorithm (GA) search method is proposed to save time in evaluating and selecting promoter-RBS components.
Hence, the more effective and efficient genetic algorithm (GA) search method is proposed to save time in evaluating and selecting promoter-RBS components.
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