Deep learning architectures have brought about new heights in computer vision, with the most common approach being the Convolutional Neural Network (CNN). Through CNN, tasks previously deemed ...

Code associated with the paper: Learning data-driven discretizations for partial differential equations. Yohai Bar-Sinai, Stephan Hoyer, Jason Hickey, Michael P. Brenner. Proceedings of the National ...

Liam Payne Compares ‘Building the Band’ Process to His One Direction Days in Netflix Trailer “How these bands are put together is not normal,” the late singer says JD Knapp ...

This work describes crystalline phases of the system [HSC (NH 2) 2]I/ (CH 3 NH 3)I/PbI 2 and discusses the crystal structures in the context of a common cubic closest packing of organic cations and ...

One-dimensional (1D) 1H nuclear magnetic resonance (NMR) is often employed in metabolomics studies. In this study, 3D TOCSY J-resolved spectroscopy has been proposed to facilitate the characterization ...

The collected data was used as an input to an artificial neural network based on a one-dimensional convolution kernel. The proposed solution allows to classify subjects into healthy and non-healthy ...