Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
Authors
Keywords
Reduced order models, Digital twins, Deep learning, Long short-term memory networks, Generative adversarial networks
Journal
NEUROCOMPUTING
Volume 470, Issue -, Pages 11-28
Publisher
Elsevier BV
Online
2021-10-22
DOI
10.1016/j.neucom.2021.10.043
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An autoencoder‐based reduced‐order model for eigenvalue problems with application to neutron diffusion
- (2021) Toby R. F. Phillips et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- An interactive web-based dashboard to track COVID-19 in real time
- (2020) Ensheng Dong et al. LANCET INFECTIOUS DISEASES
- Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death
- (2020) Ayan Chatterjee et al. SENSORS
- Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
- (2020) Zifeng Yang et al. Journal of Thoracic Disease
- A Systematic Review of COVID-19 Epidemiology Based on Current Evidence
- (2020) Minah Park et al. Journal of Clinical Medicine
- Time series forecasting of COVID-19 transmission in Canada using LSTM networks
- (2020) Vinay Kumar Reddy Chimmula et al. CHAOS SOLITONS & FRACTALS
- An agent-based model to evaluate the COVID-19 transmission risks in facilities
- (2020) Erik Cuevas COMPUTERS IN BIOLOGY AND MEDICINE
- Physically sound, self-learning digital twins for sloshing fluids
- (2020) Beatriz Moya et al. PLoS One
- An epidemiological modelling approach for COVID-19 via data assimilation
- (2020) Philip Nadler et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values
- (2020) Zhiyong Cui et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Management strategies in a SEIR-type model of COVID 19 community spread
- (2020) Anca Rǎdulescu et al. Scientific Reports
- A spatial SEIRS reaction-diffusion model in heterogeneous environment
- (2019) Pengfei Song et al. JOURNAL OF DIFFERENTIAL EQUATIONS
- Bidirectional LSTM with attention mechanism and convolutional layer for text classification
- (2019) Gang Liu et al. NEUROCOMPUTING
- A domain decomposition method for the non-intrusive reduced order modelling of fluid flow
- (2019) D. Xiao et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Memory embedded non-intrusive reduced order modeling of non-ergodic flows
- (2019) Shady E. Ahmed et al. PHYSICS OF FLUIDS
- Reduced order modeling for nonlinear structural analysis using Gaussian process regression
- (2018) Mengwu Guo et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Non-intrusive reduced order modeling of nonlinear problems using neural networks
- (2018) J.S. Hesthaven et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks
- (2018) Yifan Liu et al. NEUROCOMPUTING
- GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
- (2018) Maayan Frid-Adar et al. NEUROCOMPUTING
- Bidirectional handshaking LSTM for remaining useful life prediction
- (2018) Ahmed Elsheikh et al. NEUROCOMPUTING
- Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications
- (2018) Gianmarco Aversano et al. COMPUTERS & CHEMICAL ENGINEERING
- Model identification of reduced order fluid dynamics systems using deep learning
- (2017) Z. Wang et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
- Points of Significance: Principal component analysis
- (2017) Jake Lever et al. NATURE METHODS
- Multi-fidelity POD surrogate-assisted optimization: Concept and aero-design study
- (2017) Tariq Benamara et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- LSTM: A Search Space Odyssey
- (2017) Klaus Greff et al. IEEE Transactions on Neural Networks and Learning Systems
- Non-intrusive reduced order modelling of the Navier–Stokes equations
- (2015) D. Xiao et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Two- and three-phase horizontal slug flow simulations using an interface-capturing compositional approach
- (2014) Dimitrios Pavlidis et al. INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
- Cluster-based reduced-order modelling of a mixing layer
- (2014) Eurika Kaiser et al. JOURNAL OF FLUID MECHANICS
- Dynamics of infectious diseases
- (2014) Kat Rock et al. REPORTS ON PROGRESS IN PHYSICS
- Complexity in Mathematical Models of Public Health Policies: A Guide for Consumers of Models
- (2013) Sanjay Basu et al. PLOS MEDICINE
- A New Tool for Epidemiology: The Usefulness of Dynamic-Agent Models in Understanding Place Effects on Health
- (2008) A. H. Auchincloss et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now