Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven climate and disaster modeling

AI-driven climate and disaster modeling

Showing 97-108 of 295 articles

Using AI-driven wildfire prediction models with satellite and IoT sensor fusion

Mitigating coastal infrastructure risks by modeling 2100 sea level rise with granular sediment dynamics

Uniting paleoclimatology with AI prediction to model next-century megadroughts

Anticipating 2080 population peaks through dynamic climate-migration modeling

Across magma chamber dynamics and volcanic eruption forecasting using seismic data

Uniting paleoclimatology with AI prediction for extreme weather forecasting

Simulating planetary climate resilience during impact winter scenarios

Investigating magma chamber dynamics during paleomagnetic reversals for volcanic hazard prediction

Planning for the next glacial period across continental drift velocities

Uniting paleoclimatology with AI prediction to model ancient weather patterns

Employing neuromorphic computing architectures for real-time earthquake prediction systems

Marrying ethology with swarm robotics to optimize disaster rescue behaviors