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) ...
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 ...
Happiness is an electrifying and elusive state. Philosophers, theologians, psychologists, and even economists have long sought to define it. And since the 1990s, a whole branch of psychology—positive ...
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