Abstract: This article proposes a novel machine learning (ML)-assisted framework for solving full-wave inverse scattering problems (ISPs) in inhomogeneous, high-contrast media. Traditional ...
Abstract: Accurate day-ahead forecasting of wind power generation, both deterministically and probabilistically, is crucial for reliable and efficient power system operations, and its significance ...
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