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

AI-driven climate and disaster modeling

Showing 133-144 of 295 articles

For volcanic winter preparation: assessing global food security under prolonged ash cover

For earthquake prediction using deep learning on seismic waveform anomalies

Using AI-driven wildfire prediction models with sim-to-real transfer learning

Across Milankovitch cycles to predict long-term climate variability on exoplanets

Leveraging neglected mathematical tools for modeling chaotic climate systems

Integrating neutrino tomography with real-time volcanic eruption prediction systems

Mitigating volcanic winter impacts with stratospheric aerosol monitoring and modeling

Aligning with El Niño oscillations to improve coastal flood resilience strategies

Across magma chamber dynamics to predict supervolcanic eruption precursors

Exploring climate variability across Milankovitch cycles using high-resolution ice core data

For stratospheric aerosol injection calibration using blockchain-verified climate modeling datasets

Mapping Earth's climatic shifts through geological epochs using deep-time proxies