Abstract: In this letter, a proximal dynamical system with time-varying coefficients for fixed-time (FXT) convergence is proposed to deal with the equilibrium problems (EPs). Initially, considering ...
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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