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In comparison to two baseline cases, the 20-year life cycle cost (LCC) of the GSHP-PVT system studied can be decreased by 20.1% and 10.2% respectively, when using the optimal values determined by the proposed optimization strategy.
Using the optimal values of these factors one can achieve the goal of reliable and robust tracking of fiducial markers.
A regression model for prediction of the weathering level was established using the optimal values of parameters determined by the double cross-validation (D-CV) method.
Both algorithms used for comparison purposes have been run using the optimal values of k identified by means of multiresolution analysis.
By using the optimal values, LA/St mass ratio of 0.42, emulsifier (SDS) to styrene mass ratio of 0.01, stirring rate of 1076 rpm and the temperature of 55 °C, ME.R of 91.64% was obtained.
Using the optimal values of V and t, the polytomy classification model was constructed based on the training set by using the BLR learning algorithm provided by the BBR package [ 29].
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We show through several examples in 1D and 2D, both with structured and unstructured nodes, that very accurate solutions (compared to finite differences) can be achieved using the optimal value of the constant shape parameter.
To evaluate the optimal clusters selected based on GO, GSEA was applied using the optimal value (Table S1).
For the phylogenetic GLS analyses, branch lengths were first scaled using the optimal value of Pagel's λ parameter [51] as calculated using the GEIGER R package [52].
Thus the predictor set obtained using the optimal value of the DDP contains lower redundancy, and is capable of telling apart samples from more classes than predictor sets found using other, sub-optimal values of the DDP.
When we use the optimal values in this fault setting, we obtain larger negative slips.
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