The Spatial_Audio_Framework (SAF) is an open-source and cross-platform framework for developing spatial audio related algorithms and software in C/C++. Originally intended as a resource for ...

Signals and Systems 6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials ...

The development of universal machine-learning interatomic potentials capable of simulating magnetic ordering is vital for the in silico discovery of indispensable magnetic materials across vast ...

Department of Chemical and Biological Engineering, University of Wisconsin, Madison, Wisconsin 53706, United States Department of Materials Science and Engineering, University of Wisconsin, Madison, ...

Acoustic signal analysis is an important component of transformer online monitoring. Currently, traditional methods have problems such as low spectral resolution, imbalanced sample distribution, and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine learning has been successfully applied in recent years to screen materials for ...

Super-resolution is an important technique in image processing. It overcomes some hardware limitations failing to get high-resolution image. After machine learning gets involved, the super-resolution ...

The long-term operation of a railroad usually leads to defects in its rails, axles, fasteners, etc. These problems directly affect the safety of the rail system. Therefore, it is important to ensure ...

The interplay between molecular simulation and artificial intelligence has spurred many insights into chemical discovery, yet the data requirement of machine learning approaches remains a bottleneck.