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DCN data points acquired using an IQT were utilized for model validation and expansion of the experimental database used in this study.
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The Akaike information criterion was utilized for model selection.
As such, fewer experiments need to be conducted (e.g., non-reacting tests + reacting tests at each condition), while existing literature data can be more reliably utilized for kinetic model validation and improvement.
Real data from an Australian case company is utilized to design test experiments for model validation and evaluation.
For calibration, three models were applied to simulate urban growth trends in 2010; the actual data of 2010 were used for model validation utilizing the Relative Operating Characteristic (ROC) and Kappa coefficient methods Consequently, future urban growth maps of 2020 and 2030 were created.
An additional data subset for model validation was also used.
The remaining three sites are used for model validation.
A sample of 78 companies' holdout for model validation.
The rest was used for model validation and blind testing.
Leave-one-out cross-validation (LOO-CV) and external test set were used for model validation.
(2015), and hence some measurements are available for model validation.
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