Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

This is a form of matching reality (and observable qualities within it) to the pure mathematics of a model. Any theory of unified gravity must hold up to how we measure the effects of gravity in o ...

For conventional methods, physical modeling of the electron velocity saturation effect (VSE) is often hard to realize in nonlinear capacitance models due to the lack of an effective boundary potential ...

Save guides, add subjects and pick up where you left off with your BBC account. Brush up on your velocity-time graph knowledge and understanding with our National 5 Physics revision article.

graphs and networks provide essential tools for understanding and improving system efficiencies across many industries. To determine if this resource will benefit you, start by answering the following ...

Abstract: In this article, a novel fuzzy α-neighborhood operator with reflexivity is constructed and a new fuzzy rough set model based on the fuzzy α-neighborhood operator is proposed. Aiming at ...

In the collaborative environment of the Penn State Institute for Computational and Data Sciences, John Harlim combines applied mathematics and data science to develop methods for more-accurate ...

Throw one hundred coins, remove all those that come up tails, place them in a pile, repeat—you've got yourself a hands-on model for radioactive decay. The piles graphically show the meaning of the ...