Comparing recurrent and convolutional neural networks for predicting
wave propagation

Comparing recurrent and convolutional neural networks for predicting wave propagation

20 February 2020

Stathi Fotiadis

Mario Lino Valencia

Amos Storkey

Anil A. Bharath

Papers citing "Comparing recurrent and convolutional neural networks for predicting wave propagation"

9 / 9 papers shown

Title
Stability of implicit neural networks for long-term forecasting in dynamical systems Léon Migus J. Salomon Patrick Gallinari AI4TS AI4CE 35 1 0 26 May 2023
Predictions Based on Pixel Data: Insights from PDEs and Finite Differences E. Celledoni James Jackaman Davide Murari B. Owren 45 2 0 01 May 2023
Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico study Konstantinos Ntagiantas E. Pignatelli N. Peters C. Cantwell R. Chowdhury Anil A. Bharath 41 1 0 06 Dec 2022
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process Hao Zhou Nan Li AI4CE 47 1 0 01 Dec 2022
Data-driven and machine-learning based prediction of wave propagation behavior in dam-break flood Changli Li Zheng Han Yan-ge Li Ming Li Wei-dong Wang 21 2 0 19 Sep 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 36 12 0 05 May 2022
Development of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints H. Attar A. Foster Nan Li 43 3 0 04 Feb 2022
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling Niv Giladi Z. Ben-Haim Sella Nevo Yossi Matias Daniel Soudry AI4CE 21 8 0 14 Jun 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 251 7,940 0 13 Jun 2015