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

AI-driven climate and disaster modeling

Showing 253-264 of 295 articles

For impact winter resilience through stratospheric aerosol injection optimization

Connecting dark matter research with fluid dynamics to model cosmic web formation

Predicting ecosystem resilience during mass extinction recovery using fossil data analytics

Projecting 2030 infrastructure needs through climate-resilient urban planning simulations

Across magma chamber dynamics: modeling crystal settling effects on eruption predictability

Predicting ecosystem resilience by studying mass extinction recovery patterns in fossil records

Marrying ethology with swarm robotics to design adaptive disaster response systems

Combining neutrino detection with deep learning to predict volcanic eruptions

Using AI-driven wildfire prediction models to optimize emergency response in urban-forest interfaces

Projecting 2030 infrastructure needs for coastal cities under accelerated sea-level rise scenarios

Aligned with El Niño oscillations through machine learning-enhanced ocean current modeling

During solar flare events to predict satellite communication disruptions