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High performance of the normalized MOEA/D with (varepsilon =10^{-12}) and (varepsilon = 10^{-6}) in Table 6 is clearly deteriorated by the use of all solutions for the normalization.
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For bile, performances of the normalized and non-normalized models were similar (Table 1), and inspection of loadings showed that they were super-imposable, thus leading to the same conclusions (not shown).
As depicted in Figure 7, the clutter is mainly located in the range of normalized Doppler frequency between -0.15 and 0.15, thus the output SINR performance of the high normalized Doppler frequency area is expected to reach to output SNR performance.
In Figure 6, the ROC performances of the combined normalized and un-normalized CNs as well as each of the individual sources are depicted for these regions.
The measure of performance is the normalized misalignment (in dB), defined as overline{m}(n) = 20log_{10} left[ left| mathbf{h}(n) - widehat{mathbf{h}}(n) right|_{2}/ left| mathbf{h}(n) right|_{2} right].
Effects of major operating parameters on the system performances in terms of the normalized concentrations of MMA and chemical oxygen demand (COD) relative to their initial values, namely CMMA/CMMA0 and CCOD/CCOD0, were investigated.
Figure 2 shows the precision, recall, and F-measure of the mapping performance using the normalized edit distance for every 0.05 step in the threshold.
This reveals that, in the sense of detection performance, the normalized non-central/central approximation could be considered as a good fit for the empirical distribution of the SCN for sufficiently large values of N. Indeed, both distributions perfectly match at low SNR values and exceed the threshold for higher SNR values where the approximation accuracy degrades.
This work evaluates the performance of three Normalized Difference Water Indexes [Gao's NDWI (NDWINIR/MIR), McFeeters' NDWI (NDWIG/NIR) and Xu's NDWI (NDWIG/MIR)] in mapping of water systems across Mauritania.
Figure 2 shows the performance comparison in terms of the normalized payoff of each scheme.
Table 2 Performance of the means of the normalized skewness and kurtosis Method Confusion matrix Accuracy Specificity Sensitivity AUC Mean of the normalized skewness 81.25 18.75 82.31 ± 5.67 83.00 81.64 89.36 16.64 83.3636 Mean of the normalized kurtosis 83.33 16.67 83.67 ± 6.89 83.89 83.49 92.38 16.0000 84.00 The best performance is highlighted in bold.
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