Compressive sensing (CS) is a technique frequently adopted in wireless communications. By utilizing CS, a receiver could sense the state of channels with sub-Nyquist analog to digital converters when ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

Eddy current (EC) sensors, in combination with machine learning methods have shown great potential for automatic detection and classification of defects in industrial components [1]. Machine learning ...

A recent study conducted by the University of Amsterdam (Amsterdam, Netherlands) and the University of Queensland (Queensland, Australia) developed a novel prioritization strategy that directly links ...

As anti-reservation sentiments grow, only data, facts and accurate information can provide solutions, says professor in ...

These biomarkers developed through analysis of DNA methylation appear to be the first ones able to predict response to ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam ...