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

AI-driven climate and disaster modeling

Showing 25-36 of 295 articles

For volcanic winter preparation using stratospheric aerosol injection optimization

Anticipating 22nd century needs by modeling urban infrastructure resilience to sea-level rise

Marrying ethology with swarm robotics for disaster search-and-rescue optimization

Enhancing earthquake prediction via deep learning analysis of infrasound patterns

Aligned with El Niño oscillations to predict marine biodiversity shifts in coral reefs

Anticipating 2080 population peaks with nonlinear demographic feedback models

Predicting coastal erosion patterns using AI-driven models aligned with El Niño oscillations

Uniting paleoclimatology with AI prediction to reconstruct ancient atmospheric CO2 levels

Through catastrophic forgetting mitigation in AI to optimize long-term climate prediction models

Synchronized with solar cycles: reevaluating paleoclimate proxies using heliophysical modulation models

For stratospheric aerosol injection calibration: developing microphysical models from volcanic eruption analogs

Human-in-the-loop adaptation for volcanic winter preparation