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Both methodologies are applied to a case study and the pros and cons are discussed as well.
Both methodologies are applied to a real seismic dataset with three wells to obtain 3D models of acoustic impedance, porosity and lithofacies.
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Both methodologies were applied to the analysis of a number of beverage samples.
Both methodologies were applied to an ethanol production plant with an energy integration technology known as split-feed.
Both methodologies were applied in the same case study of differing leakage components from a dairy farm steam boiler room fuelled by liquid natural gas (LNG).
Both methodologies were applied in the development of the German short forms of the OHIP, resulting equally satisfying.
To deal with this problem, meta-heuristic solution methodologies are applied in this study.
We also show the main scenarios in which these tools and methodologies are applied to.
Usually, separate and different analysis methodologies are applied to each of the two data types.
It was found that when both proposed methodologies were applied jointly to two paired watersheds on the Delmarva Peninsula, the performance of the models as judged based on conventional metrics suffered, however, the intra-watershed responses (e.g., mass of NO3 lost to denitrification) in the two models automatically converged to realistic sums.
Selected methodologies were applied to a continuous monitoring system.
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