Do you worry your clinical laboratory is falling behind in the race to adopt artificial intelligence (AI) technologies? Every day, labs are inundated ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Digital twins are playing a critical role in advancing the healthcare sector. With the aim of improving health interventions ...

Abstract: Ensemble learning has become one of the most used approaches in machine learning that helps to increase predictive capabilities and model stability. Thus, this survey paper offers an ...

Abstract: Microwave sensors are popular for characterizing materials non-invasively. Traditionally, designing these sensors and processing the data obtained from them ...