Abstract: This paper extends recent results on model reference adaptive control using reproducing kernel Hilbert space (RKHS) learning techniques for some general ...
Abstract: In this article, a geometry-informed neural operator (GINO) with learnable activation functions is proposed. It incorporates a data-driven approach for solving the electric field integral ...
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