Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment
Floods have been identified as one of the world's most common and widely distributed natural disasters over the last few decades. Floods' negative impacts could be significantly reduced if accurately predicted or forecasted in advance. Apart from large-scale spatiotemporal data and greater...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-01-01
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| Series: | AIMS Environmental Science |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/environsci.2025004 |
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