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For the task, the results obtained on a benchmark problem consisting of a set of NIR spectra of diesel fuels and six different chemico-physical properties of those fuels is discussed.
A simulation case study of spherical two-tank system and an experimental case study of a benchmark problem consisting of three tanks are used to validate the proposed modeling strategy.
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The benchmark problem consists of an incompressible, viscous fluid interacting with a structure composed of two layers: a thin elastic layer with mass which is in contact with the fluid and modeled by the Koiter membrane/shell equations, and a thick elastic layer with mass modeled by the equations of linear elasticity.
The two benchmark problems consist respectively in the drag minimization of the RAE 2822 airfoil in transonic viscous flow and of the NACA 0012 airfoil in transonic inviscid flow.
Solving the normalization problem consists of finding these correction factors.
Benchmark problems involve 2 20 variables with a few to hundreds of local minima whereas PEC and PS problems consist of multiple components with comparable minima.
Different optimization problems consist of different dimensions.
We also used a second larger benchmark set consisting of 173 877 sites of the human genome.
Only ATHLATES showed comparable performance on their benchmark dataset consisting of 11 samples.
We also present a comprehensive benchmark dataset consisting of RNA, exome and whole-genome sequencing data.
By collecting data in KEGG, a benchmark dataset consisting of 876 drugs, categorized into four target groups, was constructed.
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