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Based on MADM analysis of these metrics, we have shown that MOPSO has better metric performance to other algorithms and has better uniformity within the solutions of their Pareto curves.
First of all, from the performed experiments for both metric parameters tuning and metric performance effectiveness assessment, a key factor for a successful comparison of NR and FR metrics is represented by the temporal realignment algorithm.
We then detail better the single metric performance below.
Since the current case uses 50 Hz, metric performance curves have to be used.
GLB metric performance is evaluated upon several MCS delivering different throughput ranges.
The mean performance was clearly higher than the Wang and Simoncelli RR metric performance.
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Performance: a. Optimize the metric performances and the respective complexity.
This is confirmed in Figs. 9 and 10 for the proposed EASE metric performances.
DTI metric performances were compared, and sample sizes for potential clinical trials were calculated.
The metric performances of Fibronectin 1 for BC diagnosis are reported in Table 3. Area under the curve was 0.77 when a cutoff of 150 was chosen, with a 75% sensitivity and 80% specificity.
The metric performances of CXCL9 for BC diagnosis are reported in Table 3. Area under the curve was 0.624 when a cutoff of 750 pg ml−1 was chosen, with a sensitivity of 45% and specificity of 79%.
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