Emergency Management

Self-Supervised Temporal Pattern Mining for Wildfire Evacuation Logistics Networks Under Real-Time Policy Constraints

This article details a novel approach to wildfire evacuation logistics, leveraging self-supervised learning to improve adaptability to changing conditions, achieving a more robust system than traditional supervised methods.