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The experimental results gained from the application of the methodology on selected benchmarks and practical designs are demonstrated.
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We analyse D<√n experimentally on selected benchmark problems for the d= 2 case.
We discuss some key elements of the proposed approach on some selected benchmarks and on an anatomically based whole heart human computational model.
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To select the best performing matrix from these four matrices, we examined the performance of each of them on the three selected benchmark GRNs.
Although the proposed micro-TVMOPSO algorithm faced difficulties in solving some complicated Pareto fronts, it outperformed the eight optimization algorithms on 10 of the 24 selected benchmark problems.
Experiments have been carried out by comparing BitABC with three binary ABC variants, DisABC, normABC, and BinABC, and the most used binary search technique, GA, on a set of 13 selected benchmark functions.
Index investing generally requires a manager to match the risk, return and diversification characteristics of a selected benchmark.
Researchers should also understand the higher-level contextual meaning behind selected benchmarking measures.
Finally, we conduct some experiments on selected binary UCI benchmark data sets and demonstrate that the proposed algorithm is more robust than standard and other types of AdaBoost for noisy data sets.
In this paper we compare achieved performance results of our standard based benchmarks executed on selected architectures for different data sets to identify possible bottlenecks.
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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