A novel framework embedding Bayesian-optimized ensemble machine learning and explainable artificial intelligence (XAI) to improve flood prediction in complex watersheds
Floods are among the most common and destructive natural hazards, particularly in areas characterized by data scarcity and intricate geomorphological features. In such regions, accurate and interpretable flood susceptibility mapping is essential for effective risk reduction and informed urban planni...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Environmental and Sustainability Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972725001813 |
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