Research at the Vitoria-Gasteiz Faculty of Engineering of the UPV/EHU has used convolutional neural networks to predict airflow characteristics in the aerodynamic profiles of high-power wind turbines, and has shown that flow control devices can be studied using these neural networks, with tolerable errors and a reduction in computational time of four orders of magnitude. The study has been published in Scientific Reports.
Over the last few years, the pandemic has forced most of us to stay home in our own neighborhoods. New [...]
A new, international analysis links belief in COVID-19 conspiracy theories to a lower tendency to support and participate in public [...]
For many young people, retirement is a blip on the radar, if not a total unknown. This is particularly true [...]