Furthermore, the combined models have been widely used to improve wind power forecasting accuracy.
The combined models have the potential to help elucidate Purkinje network contributions during ventricular arrhythmias.
Although the clinical and the combined models have very similar behaviors, we can see a little improvement by including the omics score in the prediction model.
The combined model has been validated by comparison with experimental data.
The best combined model had a very high predictive ability when used against an independent dataset (92% correct classifications).
This combined model has been compared, on one side, to a Population Balance Model assuming plug flow, and on the other side, to experimental data.
As an example, the combined model has been applied to a contaminated fractured aquifer of southern Italy in order to simulate the phenol transport.
The combined model has been tested using the experimental breakthrough curves obtained by Garnier et al. (Garnier, J.M., Crampon, N., Préaux, C., Porel, G., Vreulx, M., 1985. Traçage par 13C, 2H, I− et uranine dans la nappe de la craie sénonienne en écoulement radial convergent (Béthune, France).
The combined model has a transition probability matrix having dimensions (Sexp+Sins+Sres)×(Sexp+Sins+Sres).
Many of the target earthquakes occur in regions where the combined model has high forecast rates.
