Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic

3 February 2021

Papers citing "Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic"

6 / 6 papers shown

Title
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes Claire E. Heaney Zef Wolffs Jón Atli Tómasson L. Kahouadji P. Salinas A. Nicolle Omar K. Matar Ionel M. Navon N. Srinil Christopher C. Pain AI4CE 29 21 0 13 Feb 2022
Adversarially trained LSTMs on reduced order models of urban air pollution simulations César Quilodrán-Casas Rossella Arcucci Christopher C. Pain Yike Guo 43 7 0 05 Jan 2021
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion Toby R. F. Phillips Claire E. Heaney Paul N. Smith Christopher C. Pain 34 57 0 15 Aug 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 300 10,368 0 12 Dec 2018
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,906 0 13 Jun 2015