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Figure 9 Performances comparisons for 7-flow scenario in random topology.
Figure 16 Rate-distortion performances comparisons between the proposed MVC and JMVM (distortions are measured with PMOS_PSNR).
When the number of images increases, this variance decreases toward low enough values for feature-based steganalysis and performances comparisons.
BreakdancersBalletDoorflowersAlt MoabitPantomimeDogChampagne tower Figure 17 Rate-distortion performances comparisons between the proposed MVC and JMVM (Distortions are measured with PMOS_SSIM).
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Fig. 11 Performances comparison of RICRC, UDG, LTRT, and FLSS.
Fig. 6 BER performances comparison with different CFO.
Performance comparisons are summarized in Table S1.
Fig. 8 Performance comparisons in multipath environment.
Figure 8 Performance comparisons versus signal sparsity.
Figure 9 Performance comparisons versus SNR.
Results and performance comparisons are given.
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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