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The maximum net power is the parameter chosen for optimization, which is achieved by identifying the optimal length, width, and height.
In this computational study, a binary numerical optimization problem is formulated to achieve best mixing performance by identifying the optimal heterogeneous charge pattern.
The predictive capability of the model was experimentally verified by identifying the optimal hyperosmotic induction time for biphasic GS-NS0 cultures at 72 h.
The proposed method adjusts the copper losses and iron losses by identifying the optimal flux-weakening current, which results in the PMSM achieving the lower losses in the whole operational range.
The results detail the thermoelectric characteristics of a liquid-to-liquid generator under an increasing electrical load resistance by identifying the optimal electrical load resistance for peak thermoelectric production.
Preliminary validation of the model was achieved by identifying the optimal and most robust of three geometric alternatives (V.1-V.3) for an unsignalized single-lane roundabout in Zagreb, Croatia.
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Therefore, it is important to reduce this possibility by identifying the most optimal combination of sensitivity and specificity.
We then develop a new optimization model for identifying the optimal system configuration by minimizing the total energy cost subject to various constraints.
Both models exhibited similar performance, as measured by the probability of correctly identifying the optimal dose and the number of subjects treated at the optimal dose, regardless of whether the data were generated from the correct or incorrect copula, even when there is substantial correlation between the two outcomes.
Across the three correlation scenarios, the probability of correctly identifying the optimal dose differed by less than 0.05 and the average number of patients treated at the optimal dose differed by less than 1.5 between the three models.
The probability of correctly identifying the optimal dose differs by less than 0.024 and the number of patients treated at the optimal dose differs by less than 1 across the three correlation conditions.
More suggestions(16)
by identifying the best
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