Phys.org

Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall. The model described in the ...
Nature

A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin

Along with global climate change, more frequent extreme climate phenomena have led to an increasing number of and increasingly severe flood disasters. Extreme rainfall events are capable of generating ...
Nature

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model

Landslide susceptibility assessment is essential for risk mitigation in regions affected by complex terrain and variable environmental conditions. This study proposes a hybrid deep learning framework ...