We investigate the resolution of parabolic PDEs via Extreme Learning Mac...
In this paper we introduce a new approach to discrete-time semi-Markov
d...
Physics-Informed Neural Networks (PINN) are neural networks (NNs) that e...
Heterogeneous data are commonly adopted as the inputs for some models th...
The inference of novel knowledge, the discovery of hidden patterns, and ...
Machine learning is driving development across many fields in science an...
The quality of datasets is a critical issue in big data mining. More
int...