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In this paper the Graphic Processing Unit (GPU) is applied in order to improve the computational performance of process systems optimal control calculations.
Improving the performance of process steps of a biometrics system.
It is widely used to identify the performance of process parameters under investigation.
The utility of observability and redundancy in characterizing the performance of process data estimators was established in previous studies [10].
Generally, it is challenging to evaluate the performance of process designs on the basis of a large number of indicators.
Major approaches of reducing the EER can be divided into the following two categories: (1) Improving the performance of process steps of a biometrics system.
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The second goal is to use the OHS parameters to benchmark the performance of process-based hydro-geochemical (HG) models.
Greening of SC has been identified as an important approach for improving the environmental performance of processes and products.
When quantifying the performance of processes and assessing the effects of improvement projects, performance indicators are an essential tool (Leyer et al. 2015).
The detailed reaction kinetics and effect of reaction temperature on the performance of processes are fully analyzed.
The Life Cycle Assessment (LCA) methodology is widely applied in several industrial sectors to evaluate the environmental performance of processes, products and services.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com