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Fifty independent runs of this evolutionary optimization were generated to evaluate the convergence of the results.
Two sets of benchmark instances were generated to evaluate the proposed algorithms.
A linear regression is generated to evaluate the correlation of Land Surface Temperature (LST) with the four vegetation indices.
Test cases with different job factors were generated to evaluate the algorithms and to demonstrate its strength.
Representing synchrony scores as weighted links in the graph, multiple iterations of communities are generated to evaluate how synchronized a set of electrodes are relative to the expected synchrony in a random graph.
Statistics based contour plots were generated to evaluate the changes in the response surface and to understand the relationship between the enzyme yield and the culture conditions.
Frequency response functions of stroke to current as well as pressure to current ratios were generated to evaluate the effect of excitation frequency on the compressor performance.
Statistical contour plots were generated to evaluate the changes in the response surface and to understand the relationship between the nanoparticles and the enzyme activity.
Simulation results are generated to evaluate the performance of the proposed method in terms of supporting the QoS and improving the network scalability based on queuing delay control and adjustment.
A receiver operating characteristic curve was generated to evaluate both predictive models.
Time activity curves were generated to evaluate the uptake and secretion pattern.
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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