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Varying the effectiveness weight provided further insight into the conditions under which particular MADM approaches exhibited higher utility values.
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Concerning the computational efforts, per-region approaches exhibit higher complexity, both in space and in time, than the per-pixel ones.
Compared with conventional heat-reflux extraction (HRE), the proposed approach exhibited higher efficiency (8 17% enhanced) and shorter extraction time (from 5 h to 30 s).
Moreover, the TALE-based approach exhibited high specificity allowing for distinguishing single-nucleotide polymorphisms (SNPs).
Molecules developed from this approach exhibited high affinity and selectivity for the D3 receptor as judged from preliminary [3H]spiperone binding data.
Comparing the outputs obtained from the previous models with the BPP values predicted by the GEP technique, it was found that the GEP approach exhibits higher accuracy and lower uncertainty on the basis of statistical analysis in terms of coefficient of determination (R2) and mean squared error (MSE).
As experiments show, our approach exhibits high performance both in accuracy and security with a little loss of blocking time.
Numerical solutions show that the proposed approach exhibits high accuracy in mathematical expression, and it is valuable for theoretical research and engineering applications of parametric systems.
This approach also exhibited high efficiency and accuracy in the chemical identification for moderately complex mixtures.
The data revealed that SST stations exhibited higher contaminant concentrations and that this approach was more accurate in tracking the produced water plume.
The results of the second data-set show the expected patterns; participants exhibited higher speed of information accumulation in the approach CS+ condition than the other conditions.
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