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Table 1 offers an overview on the economic assumptions used in the optimisation.
A central composite design (CCD) was used in the optimisation of extraction conditions.
Both the plane wave expansion method (PWE) and 2D FDTD calculations are used in the optimisation process.
The developed deep architecture network models can then be used in the optimisation of the CO2 capture process.
The variables used in the optimisation process include granulation time, batch size, impeller speed and binder concentration.
From these 1000 set of values, the set of initial values that maximises the likelihood is used in the optimisation process.
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The set of goals and objectives used in the model optimisation reflect different requirements in the design: obtaining good generalisation ability, good balance between one-step-ahead prediction accuracy and model complexity, and good multi-step prediction accuracy.
Finally, to evaluate the accuracy of the features extracted and matched from the proposed L2-SIFT algorithm, a bundle adjustment with parallax angle feature parametrization (ParallaxBA1) is applied to obtain the Mean Square Error (MSE) of the feature reprojections, where the feature extraction and matching result is the only information used in the nonlinear optimisation system.
Hence, the new method can be used in the design and optimisation of pellet manufacturing processes.
As 5-fold cross-validation is used to test the models, the same method is also used in the cut-off optimisation.
In this paper, we focus on this last class of vehicles and present a methodology used in the design and optimisation of a light duty FC hybrid Neighbourhood Electric Vehicle.
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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