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An ensemble of six such models was used to produce the final detection output.
One of these models was used as an example of stored energy calculations.
Some flow stress models was used to simulate the compaction of a cylindrical specimen.
As background one of two empirical models was used: IRI 2000 or NeQuITUR.
The coupling of the aforementioned models was used to guide a genetic algorithm to design watershed-scale bioenergy landscapes.
A methodology for multi-objective optimization of these models was used and an optimal geometry was proposed.
The 3-D response surface plot derived from the mathematical models was used to determine the optimal conditions.
A full factorial design supporting non-linear regression models was used to combine the four design parameters.
An ensemble of Coupled Model Intercomparison Project phase 515 models was used to produce these downscaled projections with emphasis on emissions pathway RCP8.5, which present day emissions concentrations are currently tracking above16.
In this study, a new method coupling remote sensing and ecological models was used to assess the N removal by riparian vegetation on a large spatial scale.
Meta-analysis with random-effects models was used to summarize effects of treatments.
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