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In general, all of the models were improved with the addition of the kriged dependence term.
These failures could be circumvented if current 2D in vitro and in vivo models were improved.
Spectral variable selection using interval PLS (iPLS) was shown to be valuable, as all the calibration models were improved.
In general, models were improved with the addition of spatial dependence terms representing the effect of conspecific attraction (coloniality), but these models were less applicable for predictive purposes.
The traditional RSM models were improved by ANN models between a 54.08% and 12.19% in terms of root mean square error (RMSE).
The GT-Power models were improved to accurately simulate the part load conditions, by calibrating parameters of the combustion and heat transfer sub-models using experimental data taken at various speed load points covering the entire operating range.
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Here, we ask how much the final models are improved if improved contact predictions are used.
The detailing of its models was improved and the range extended.
The model fit (adjusted R2) of the regression models was improved as plot size increased.
Also, the applicability of oemof models is improved by the underlying structure.
In MDA, the reusability of models is improved as well as the traceability of requirements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com