Abstract: The present study explores the effectiveness of using Physics-Informed Neural Network (PINN) predictions as an initial guess for iterative methods in solving an inverse coefficient problem, ...
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Abstract: In recent years, deep learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...