IEEE

Self-Supervised Learning of Physics-Guided Deep Unfolding Parallel Networks for Solving Nonlinear Inverse Scattering Problems

Abstract: Numerous learning-based methods have been proposed to address the challenging task of solving inverse scattering problems (ISPs), with the requirement of ample labeled training datasets. To ...
IEEE

Loss Minimization for Linear Induction Motors Based on Finite-Set Predictive Control with Lower Number of Switching Voltage Vectors

Abstract: This paper suggests a loss minimization (LM) for linear induction motors (LIMs) where the optimum value of the primary flux linkage is derived for this goal. The derivation of the optimum ...