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Performance indexes to assess the accuracy of objective metrics were computed following the same procedure as in [63].
Impairment E-model PESQ P.563 Codec-PLC 162.4 0 5.7 8.2 Packet loss rate 15.9.13.7 3.1.08 Noise type 3.1.04 145.2 0 43.1 0 Noise level 7.7.006 35.1.85.36 Figure 3 Significant main effects of (a) codec, (b) noise type, and (c) noise level on the accuracy of objective quality measurement of noise corrupted speech.
Impairment E-model PESQ P.563 Codec-PLC 5.5.005 3.9.02 1.23.30 Noise type 1.6.19 21.6 33.5 Noise level 94.2 0 70.3 0 80.5 0 Figure 4 Significant main effects of (a) codec, (b) noise type, and (c) noise level on the accuracy of objective quality measurement of noise-suppressed speech.
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While data from service stakeholders can be different from more objective measures, such differences can themselves help raise questions about the quality and accuracy of these objective measures [ 25- 29].
The new model synthetically considers the total trajectory length, the well profile energy and the accuracy of target hitting as the objective functions and takes the anti-collision with adjacent well as constraint.
The developed model could effectively enhance the accuracy of the objective functions used in the building energy prediction and optimization problems.
Since the subjective MOS itself has statistical uncertainty because of the abovementioned subjective factors, it is reasonable to allow certain prediction error (e.g., less than CI95) when evaluating the prediction accuracy of an objective model.
The study shows that while maintaining the accuracy of aerodynamical objective function and constraint within the reasonable range for engineering prediction purposes, variational method provides a substantial gain in computational efficiency, i.e., computer time and memory, when compared with the finite difference computations.
The discrepancy observed between the results obtained using the 2 different lipodystrophy definitions (Tables 3, 5 and 6) could result from the higher accuracy of the objective method in detecting slight losses of peripheral adipose tissue that were not detected by clinical inspection, as has been previously proposed by Bonnet [ 22].
In this way, the area of the moving surface is small, and it is helpful to improve the efficiency and accuracy of multi-objective optimization, which are shown as Fig. 7.
* target genes involved in "apoptotic process" GO category ** R a l l T The accuracy of each objective-centric regression model was estimated using cross-validation.
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