Abstract: Function approximation by artificial neural networks (ANNs) are often carried out via a collocation grid approach. However, for certain combinations of grids and functions, the training data ...

Explore different methods for authenticating devices on a network, from hardware addresses to advanced certificate-based ...

Abstract: The paper proposes a model-free method for improvement of measurements dynamic in the case of time-varying measurement quantity. As an example, the oscillating mass measurement process is ...

AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...