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Monte Carlo algorithm combined with partial least squares (MCPLS) method was applied to identify the outliers and choose the numbers of calibration set.
Five texture feature sets were extracted for each lesion, while a genetic algorithm based feature selection method was applied to identify the most robust features.
The Taguchi quality engineering method was applied to identify the optimal process parameters (i.e., transfer area, stiffening pattern, coating layers, and transfer temperature).
This method was applied to identify the species mentioned above, in situ, from 8 samples of traditional fermented milk, and monitor the constitution of the species in commercial dairy yoghurt.
In order to assure the safety of operators and to upgrade the quality and reliability of the initiator, the human error criticality analysis (HECA) method was applied to identify the critical human tasks, critical human error modes, and the human reliability information of initiator assembly tasks in this study.
As a model application, the method was applied to identify the genes that play a role in the cytotoxic responses of human hepatoblastoma cell line (HepG2) to saturated fatty acid (SFA) and tumor necrosis factor (TNF -α, as compared TNF -α non-toxic response to the unsasurated FFAs (UFA) and TNF-α.
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A standard nonlinear least square method is applied to identify the parameters q and (E_{mathrm{s}}).
The method is applied to identify the Chinese Continental Scientific Drilling Main Hole (CCSD-MH) metamorphic rocks.
Melnikov's method is applied to identify the existence of chaotic motion.
The proposed method is applied to identifying the gear crack levels and the applied results demonstrate its effectiveness.
Two methods were applied to identify the putative CHY homologs genes.
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