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

AI-driven climate and disaster modeling

Showing 289-295 of 295 articles

Synchronized with solar cycles for deep geological time applications

Uniting paleoclimatology with AI prediction to model abrupt climate shifts in the Holocene epoch

Human-in-the-loop adaptation for rapid wildfire prediction using satellite imagery

Using explainability through disentanglement in deep learning for chaotic climate modeling

Synthesizing future-historical approaches for post-climate-disaster governance

Using military-to-civilian tech transfer for next-generation urban disaster resilience

Synthesizing algebraic geometry with neural networks for high-dimensional earthquake precursor pattern recognition