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

AI-driven climate and disaster modeling

Showing 169-180 of 295 articles

Optimizing drone swarm coordination via generative design algorithms for disaster response

Predicting solar storm impacts during the next solar maximum (2025-2035)

Employing soft robot morphogenesis for adaptive disaster rescue missions

Predicting urban heat island effects under 2080 population density scenarios

Investigating climate patterns synchronized with solar cycles over millennia

Reconstructing ancient climates via scientific folklore methods and paleoenvironmental data

For earthquake prediction via distributed fiber-optic strain sensing networks

Designing bio-inspired flood barriers using generative adversarial networks

Predicting mega-earthquake cascades spanning tectonic plate boundaries with AI-driven simulations

During grand solar minimum impacts on global crop yields

Reconstructing last glacial maximum conditions using deep-sea sediment isotope analysis

Planning for next glacial period with AI-driven climate adaptation models