The results show that this microstructural-based modeling approach is capable for predicting the behavior of the steel even under complex loading conditions.
Through this study, an ANN was designed to present a template that is capable for predicting output data (coercivity) according to input data (pH, oxidative and reductive times, oxidative and reductive voltages, and off-time).
A comparison between the experimental data and model outputs provided a high correlation coefficient (R2all_ANN equal to 0.9998) and exhibited that the model was capable for predicting the phycoremediation of both As III) and As V) from wastewater.
A comparison between the experimental data and ANN model results gave a high correlation coefficient (R all_ANN 2 equal to 0.99987 for both As III) and As V)), showed that the model is capable for predicting the phycoremediation of both As III) and As V) from wastewater.
It is shown that the DSM formulae in the North American Specification AISI S100-16 are capable for predicting the design strengths of the built-up open section beams with holes, while are quite conservative for the closed section beams with holes.
It is shown that the DSM formulae in the North American Specification are capable for predicting the design strengths of the built-up open and closed section beams with holes, using the critical elastic local and distortional buckling moments including the influence of holes determined by the recommended approaches in this study.
In the present study, we demonstrate ACA to be capable of predicting radiation cell survival for a panel of six bladder cancer cell lines.
The model simulation is validated with experimental results obtained in a fully automated modular miniplant and is shown to be capable of predicting the key parameters needed for process design of a kinetic resolution, the enantiomeric excess and the extent of conversion at a given superficial velocity.
In addition, the trained neural networks were capable of predicting strains for the unseen input data set.
