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Several machine-learning methods have been applied to handle the defect-proneness of software modules as a classification problem.
Several approaches have been applied to handle uncertainty in construction, the two most popularly accepted being Program Evaluation and Review Technique (PERT), and Monte Carlo sampling.
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The graphic processing ability of video game consoles could be applied to handle large satellite images of the United States.
Power law fits were applied to handle the nonlinearity in both relationships.
For an optimization technique, genetic algorithm is applied to handle trade-off effects of design parameters.
Missing data theory was applied to handle the fact that not all questions in the questionnaires were answered (Muthén and Muthén 2012).
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.
By means of the TRIZ (the theory of inventive problem solving), a contradiction matrix is applied to handle engineering conflicts among multi-functional alternatives to seek inventive solutions.
A Kalman filter is applied to handle noise and satellite-derived NDVI observations of low quality, and cumulative sums (CUSUM) of the deviations from the seasonal trajectory representing undisturbed forests are used to detect disturbances.
The former is employed to model the topological accessibility of multilevel highway networks, and the latter is applied to handle the hierarchical relationship between multilevel highway networks and local development patterns.
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