13 citations · 18 across the 3 of their papers we have counts for
3 papers
WAVEx: Stabilized Finite Elements for Spectral Wind Wave Models Using FEniCSx
Mark Loveland, Eirik Valseth, Jessica Meixner +1
The prediction of the wind wave spectrum of the ocean using numerical models are an important tool for researchers, engineers, and communities living in coastal areas. The governin…
Extending FEniCS to Work in Higher Dimensions Using Tensor Product Finite Elements
Mark Loveland, Eirik Valseth, Matt Lukac +1
We present a method to extend the finite element library FEniCS to solve problems with domains in dimensions above three by constructing tensor product finite elements. This method…
Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features
Weihan Zhang, Bryan Pogorelsky, Mark Loveland +1
Coronavirus Disease 2019 (COVID-19) demonstrated the need for accurate and fast diagnosis methods for emergent viral diseases. Soon after the emergence of COVID-19, medical practit…