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HSPICE simulation results using ISCAS benchmarks demonstrate the efficacy of the presented design methods.
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Experimental results on the Middlebury stereo benchmarks demonstrate the effectiveness of the proposed approach.
Some benchmark cases demonstrate the efficacy of the proposed approaches.
Experimental results on benchmark datasets demonstrate the efficacy of the proposed method, and an improvement of 15% in the Matthews correlation coefficient (MCC) was observed over independent validation tests when compared with the most recently released sequence-based GPCR drug interactions predictor.
The method is then applied to a benchmark spherically symmetric underwater explosion problem to demonstrate the efficacy of the numerical procedure for problems of this type.
In this section, we present results for a series of computational experiments that demonstrate the efficacy of our proposed method on synthetic benchmark problems.
We demonstrate the efficacy of the algorithm in managing load-shedding and power-distribution on synthetic benchmark IEEE data and discuss the role of weights in the trade-off between minimising load-shedding and transmission costs.
Finally, explain what changed to demonstrate the efficacy of the process.
To demonstrate the efficacy of the proposed methodology, it is tested on two case studies, a simple tank system and the benchmark Tennessee Eastman process.
In this section, we demonstrate the efficacy of the proposed method by conducting various experiments and evaluating our results on the Middlebury stereo benchmark images [2].
To demonstrate the efficacy and scalability of our proposal, we conduct a set of experiments on 11, 000 apps from Google Play Store and benchmark datasets.
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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