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The study of dose-response predictions using non-linear regression should be the goal, but the only two doses generally used in these tests do not make it possible to evidence linearity as we indicated.

Therefore, more recently, there has been a huge shift in focus towards accident occurrence prediction using non-traditional artificial intelligence (NTAI) forecasting approaches.

The objective of this study was to investigate the accuracy of multi-line genomic prediction using non-linear models by kernel learning and a linear model that modelled trait by line combinations as separate but correlated traits, and to compare the prediction accuracy of these models to that of commonly used linear genomic prediction models presented by Calus et al. [ 22].

This data was compared to the structural, degradation and fracture mechanics predictions made using non-linear finite element solutions, and the application of the design within the COCOMAT project was discussed.

The objective of this study was to compare the accuracy of multi-line genomic prediction when using non-linear or linear models.

To improve slow species predictions using the non-interactive models, their transport equations are solved with the reaction terms calculated from the flamelet library, also considering local or stoichiometric conditions in the so-called Extended Flamelet Models.

The assumptions and models for solubility modelling or prediction in systems using non-polar solvents, or water and complex triterpene and other active pharmaceutical ingredients as solutes aren't well studied.

Accurate retention time predictions (<0.5%) were achievable using non-linear retention models (3 × 3).

Finally, the HF-MDCT coefficients are recovered by using non-linear prediction point by point until the frequency reaches up to the cutoff frequency 14 kHz.

It is, however, a simpler CVD risk prediction model which is calculated using non-laboratory predictors.

Here only enzymatic functions were considered, although ETA itself makes both enzymatic and non-enzymatic predictions using Gene Ontology (GO) terms [57].

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