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

AI-driven climate and disaster modeling

Showing 157-168 of 295 articles

For volcanic winter preparation using stratospheric aerosol injection modeling

Optimizing early warning systems for supernova event readiness with neutrino detectors

Predicting aftershock trajectories for earthquake prediction with AI-driven seismic tomography models

Connecting dark matter research with fluid dynamics to simulate cosmic filament formation

Aligned with El Niño oscillations to predict marine ecosystem shifts

Predicting 2040 climate migration patterns using AI-driven socioeconomic and environmental models

Predicting 2040 climate migration scenarios using coupled socioeconomic-climate models

Uniting paleoclimatology with AI prediction to forecast abrupt climate tipping points

Simulating paleomagnetic reversals' impact on atmospheric ozone depletion rates

Uniting paleoclimatology with AI prediction to forecast megadroughts under 2035 SDG targets

Predicting tectonic plate movements with machine learning for earthquake risk assessment

For volcanic winter preparation using stratospheric aerosol injection optimization models