For most theories in physics, the order of operations has little impact on the result. When setting a dial to a certain ...

When the roads get crowded, many drivers start changing lanes. Mathematics suggests this intuition is typically wrong ...

Abstract: The periodic pulse features induced by early damage to rolling bearings under a strong noise background are weak, and the signal decomposition method based on the symplectic geometry ...

Removing motion artifacts (MAs) from functional near-infrared spectroscopy (fNIRS) signals is crucial in practical applications, but a standard procedure is not available yet. Artificial neural ...

Graph neural networks (GNNs) have been applied with great success across science and engineering, but we do not understand why they work so well. Motivated by experimental evidence of a rich phase ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...

This repository contains the winning solution for the Sensorium 2023, part of the NeurIPS 2023 competition track. The competition aimed to find the best model that can predict the activity of neurons ...

Abstract: Heart disease has become one of the important diseases threatening people’s life and health. Therefore, automatic recognition and classification of arrhythmia has gradually become a research ...