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Through the verification and the comparison by simulating a benchmark case, the improved model demonstrates good accuracy and stability.
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The controller design methodology is validated by simulating a two-area power benchmark power system.
We benchmark the resulting model by simulating a classical immunization experiment that reproduces the development of immune memory.
Today, he ends most of his fights by simulating a kill.
Performance of the new formulation is systematically investigated by simulating four benchmark flows of increasing complexity, namely (1) flow in a plane channel, (2) unsteady Couette flow, (3) flow caused by a moving lid over a 2D square cavity and (4) flow over a circular cylinder.
The accuracy and stability of the model have been verified, by simulating three benchmark problems.
The method is tested by simulating the BEAVRS benchmark with a windowed multipole library composed of 70 nuclides.
For comparison, the non AN-aided MCBF design is also simulated as a benchmark.
The SOF-based classifier from [14] using only the cycle frequency profile is simulated as a benchmark for comparison to the first stage of the proposed classifier.
We demonstrate GemSIM's usefulness for evaluating error models and benchmarking downstream analysis software by using GemSIM to capture the error profiles of two different paired-end Illumina runs and one Roche/454 Titanium run, and by simulating reads from a set of in silico generated Buchnera aphidicola haplotypes.
Model benchmarking is an exercise to compare the performance of many models when simulating a specific case with a known solution.
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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