PREVENTING FIRE EVENTS BY REDISCOVERING AND EXTENDING DEEP LEARNING METHODS

PREFERRED develops novel Machine Learning and Deep Learning methods for next-day fire risk prediction, as well as smart analytics and visualization interfaces on top of them. The project will incorporate its results into α decision support platform that will be directly exploitable by disaster management stakeholders (fire service, civil protection, NGOs) in the prevention and management of fire events.