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Figure 1 illustrates performance variation of Takagi Sugeno fuzzy model using concept of mean square error versus different clustering radii.
Figure 4 illustrates performance of IPDA-ACF2, giving snapshots of the position estimates of all the nodes, together with the target trajectory for one simulation run.
Figure 3 illustrates performance for searching the PubChem sample and also shows a table with average numbers with regards to query throughput time and result set sizes. Figure 3 Similarity search throughput time for different minimal Tanimoto similarity.
Fig. 1 illustrates performance parameters (accuracy and reaction times) for the three empathy tasks for both groups and Table 2 lists means and p-values of the various ANOVAs (for the main effect of phase).
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We combine an increasing number of hydrophones to vary effective SNR and to illustrate performance differences.
Numerical experiments are presented to illustrate performance improvement of the proposed EVLBS-CWSS for CR.
Finally, some numerical examples are given to illustrate performance of the proposed design methods.
We illustrate performance of the proposed feedback links for downlink cooperative multi-antenna multicell networks in wireless channels.
Furthermore, the profile graph was usually used to illustrate performance of noise smoothing and edge preservation [14].
Proof of concept of the new algorithm is presented using several numerical examples that illustrate performance results.
Histograms in Figure 1 illustrate performance separately for each of the four timbres.
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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