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As obvious in the figure, deviation reduction in this algorithm is when its parameters are set as follows: the number of initial particles on level 1, the number of repetitions on level 2, the maximum velocity of particles on level 1, and the inertia weight on level 3. Open image in new window Fig. 3 Chart of S/N rate of objective functions at different levels of MOPSO algorithm factors.
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Figure 8 Deviation from epipolar line.
Figure 22 Deviation from optimal delta for equivalent synthetic datasets.
Figure 10 Deviation in volume of left-leaning political communication compared to expected baseline.
Figure 3 Deviation from the mean of mental and physical health index by country.
Figure 11 Deviation from random of per-AID shape-Tanimoto (ST -optimized 3-D ST -optimizederage values.
Figure 12 Deviation from random of per-AID color-Tanimoto (CT -optimized 3-D similarity average values.
Open image in new window Figure 6 Deviation of ANN results in comparison with the unseen experimental densities.
Open image in new window Figure 7 Deviation of ANN results in comparison with the unseen experimental saturated liquid densities.
Figure 8 Deviation of the execution time, in which the unit of execution time is millisecond (ms).
Figure 7 Deviation with respect to the true time position of a physical packet under COST207-RA channel.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com