Abstract: In this paper, we delve into the monotone sub-modular maximization problem with a cardinality constraint. We propose a priority-ordered swapping algorithm that iteratively improves the ...
Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing ...
Abstract: In this letter, we explore the feasibility of using machine learning (ML) to address time-domain electromagnetic forward and inverse problems. A novel ML-associated Hermite (AH) ...
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