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

v1v2 (latest)

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

3 February 2021

César Quilodrán-Casas

Vinicius L. S. Silva

Rossella Arcucci

Claire E. Heaney

Christopher C. Pain

ArXiv (abs)PDF HTML

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

5 / 5 papers shown

Title
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification Saurabh Agarwal K. Arya Y. Meena 74 3 0 01 Jan 2024
A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation Romain Molinas César Quilodrán-Casas Rossella Arcucci Ovidiu Serban 35 0 0 03 Jul 2023
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 103 23 0 13 Feb 2022
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification Vinicius L. S. Silva Claire E. Heaney N. Nenov Christopher C. Pain AI4CE 80 3 0 28 May 2021
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19 Vinicius L. S. Silva Claire E. Heaney Yaqi Li Christopher C. Pain AI4CE 75 23 0 17 May 2021

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.