Hybrid AI Framework Targets Urban Flood Risk and Green Infrastructure Planning
A new hybrid machine learning framework, GIStorm-Net, combines XGBoost, graph neural networks and optimization algorithms to predict urban flood risk ...
A new hybrid machine learning framework, GIStorm-Net, combines XGBoost, graph neural networks and optimization algorithms to predict urban flood risk ...
By placing just seven strategically sited soil moisture sensors across a heterogeneous Brazilian watershed and training Random Forest and XGBoost ...
Simulating 81 slightly shifted versions of Typhoon Hagibis reveals that a 0.2-degree change in the storm's path altered Japan's flood ...
A two-thousand-year climate model ensemble shows that a Bayesian hierarchical duration-dependent GEV model with a spatially fixed shape parameter halves ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine