These models are vital tools for governments, insurers, and urban planners. Yet, as highlighted in recent studies comparing flood risk models developed by the University of California, Irvine (UCI ...
Phys.org on MSN21d
Researchers enhance flood season rainfall predictions by combining machine learning and climate system modelA recent study has employed machine learning (ML) algorithms to address the nonlinear challenges faced by traditional models in predicting flood season rainfall, resulting in significant improvements ...
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