To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor ...

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...

The foundation of any model is the data that goes into it. That’s where the NBA’s optical player tracking systems come in.

About Clarivate Clarivate is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & ...

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Simple patient screening questionnaires addressing five different health-related social needs performed better than advanced machine learning methods at tracking HRSNs ...