Abstract: This paper provides the insights of disaster forecasting methods, focusing on the strengths, limitations, and applications of other models and ideas to predicting natural disasters.
Abstract: The research presents a thorough review of machine learning algorithms for predicting turbulence intensity in fluid dynamics, based on both Direct Numerical Simulation (DNS) and Large Eddy ...
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