Flood susceptibility assessment using three machine learning techniques and comparison of their performance
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Researchers are using machine learning techniques to assess flood susceptibility in various regions. Studies are being conducted to compare the performance of different machine learning methods and integrate them with geospatial intelligence and other techniques for more accurate flood mapping. The application of these techniques is being explored in different parts of the world, including the US, Algeria, and India, to predict and prepare for flood risks.
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