273 citations · 275 across the 3 of their papers we have counts for
3 papers
cs.LG2022
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions
Ehsan Adeli, Luning Sun, Jianxun Wang +1
In this research paper, we study the capability of artificial neural network models to emulate storm surge based on the storm track/size/intensity history, leveraging a database of…
cs.LG2021★ 273 cited
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
Pu Ren, Chengping Rao, Yang Liu +2
Partial differential equations (PDEs) play a fundamental role in modeling and simulating problems across a wide range of disciplines. Recent advances in deep learning have shown th…
physics.flu-dyn2020★ 2 cited
A deep-learning based generalized reduced-order model of glottal flow during normal phonation
Yang Zhang, Weili Jiang, Luning Sun +5
This paper proposes a deep-learning based generalized reduced-order model (ROM) that can provide a fast and accurate prediction of the glottal flow during normal phonation. The app…