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

AI-driven climate and disaster modeling

Showing 37-48 of 295 articles

Analyzing climate feedback mechanisms aligned with El Niño oscillations during solar minima

Synchronizing paleoclimate records with solar cycles across continental drift velocities

Using AI-driven wildfire prediction models with real-time satellite data integration

Predictive modeling of 2040 climate migration scenarios using coupled socioeconomic-climate networks

Connecting dark matter research with fluid dynamics to model galactic filament formation

Exploring glacier dynamics during the last glacial maximum using sediment core analysis

Optimizing exascale system integration for real-time climate modeling at petabyte scales

Via proprioceptive feedback loops in soft robotics for subterranean exploration under high pressure

Projecting 2030 infrastructure needs for coastal cities under rising sea levels

Real-time viscosity mapping across stratified magma chambers using distributed fiber optics

Across magma chamber dynamics and their impact on supervolcano eruptions

Synthesizing future-historical approaches to predict climate change impacts over deep geological time