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The graphic processing ability of video game consoles could be applied to handle large satellite images of the United States.
Alternatively, imputation techniques can be applied to handle missing data.
Multiple imputation methods will be applied to handle missing data.
Last observation-carried forward methods will be applied to handle missing data on the primary endpoint.
In general, the method can be applied to handle weak, quasiperiodic, sharp signals of various origins.
Yet these methods have been defined for models of evolution accounting only for duplications and losses, i.e. can not be applied to handle prokaryotic gene families.
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In addition, we demonstrate that the iREX can be applied to handling the DNA, which has several homologous sequences, such as multiple-reporter expression cassettes.
For an optimization technique, genetic algorithm is applied to handle trade-off effects of design parameters.
Several machine-learning methods have been applied to handle the defect-proneness of software modules as a classification problem.
An integer-coded SA is used to handle the discrete design variables, while Newton's method is applied to handle the continuous design variables.
The first-level strategy is applied to handle the large-scale disaster induced failures while the second-level strategy protects the network against regular single-link failures.
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