In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...
Weather models still struggle to parse the millions of datapoints involved in precipitation prediction. It’s understandable ...
This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...
With the aggressive scaling of semiconductor devices, the increasing complexity of device structure coupled with tighter metrology error budget has driven up Optical ...