Hazardous atmospheric dispersion in urban areas: A Deep Learning approach for emergency pollution forecast.
Mouhcine MendilSylvain LeirensPatrick ArmandChristophe DuchennePublished in: Environ. Model. Softw. (2022)
Keyphrases
- deep learning
- urban areas
- air quality
- emergency services
- aerial images
- unsupervised learning
- travel time
- machine learning
- satellite images
- decision making
- geographic information systems
- remote sensing images
- traffic congestion
- mental models
- weakly supervised
- emergency response
- decision support
- management system
- computer vision