A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting
Authors
Keywords
-
Journal
IEEE Transactions on Emerging Topics in Computational Intelligence
Volume 7, Issue 5, Pages 1420-1430
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2023-08-08
DOI
10.1109/tetci.2023.3298535
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Spatio‐temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks
- (2022) Meiling Cheng et al. Journal of Advances in Modeling Earth Systems
- Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics
- (2022) Helin Gong et al. NUCLEAR SCIENCE AND ENGINEERING
- Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling
- (2022) Sibo Cheng et al. Remote Sensing
- Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
- (2022) Sibo Cheng et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India
- (2021) A.L. Achu et al. Ecological Informatics
- Multifidelity prediction in wildfire spread simulation: Modeling, uncertainty quantification and sensitivity analysis
- (2021) Mario Miguel Valero et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Event generation and statistical sampling for physics with deep generative models and a density information buffer
- (2021) Sydney Otten et al. Nature Communications
- Transformers for modeling physical systems
- (2021) Nicholas Geneva et al. NEURAL NETWORKS
- A review of machine learning applications in wildfire science and management
- (2020) Piyush Jain et al. ENVIRONMENTAL REVIEWS
- Image fire detection algorithms based on convolutional neural networks
- (2020) Pu Li et al. Case Studies in Thermal Engineering
- An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling
- (2020) M. Cheng et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Photo-Realistic Image Super-Resolution via Variational Autoencoders
- (2020) Zhi-Song Liu et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Physics-Based Generative Adversarial Models for Image Restoration and Beyond
- (2020) Jinshan Pan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Radiant heat flux modelling for wildfires
- (2019) James E. Hilton et al. MATHEMATICS AND COMPUTERS IN SIMULATION
- The collection 6 MODIS active fire detection algorithm and fire products
- (2016) Louis Giglio et al. REMOTE SENSING OF ENVIRONMENT
- The Interagency Fuels Treatment Decision Support System: Functionality for Fuels Treatment Planning
- (2016) Stacy A. Drury et al. Fire Ecology
- Non-intrusive reduced order modelling of the Navier–Stokes equations
- (2015) D. Xiao et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- The New VIIRS 375m active fire detection data product: Algorithm description and initial assessment
- (2014) Wilfrid Schroeder et al. REMOTE SENSING OF ENVIRONMENT
- A Comparative Review on Wildfire Simulators
- (2011) G D Papadopoulos et al. IEEE Systems Journal
- A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990
- (2008) A. Alexandridis et al. APPLIED MATHEMATICS AND COMPUTATION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd 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