⚡ electrical engineering
Explainable Flood Prediction Using Hybrid Deep Learning, GIS, and Explainable AI for Climate-Resilient Disaster Management
This study proposes an explainable flood prediction framework that integrates GIS, a hybrid LSTM-XGBoost deep learning model, and XAI techniques (SHAP and LIME) to deliver accurate, transparent, and policy-oriented decision support for climate-resilient disaster management.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Drowning in papers in your field?
Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.