Abstract: In the domain of full-wave inverse scattering imaging problems, subspace-based optimization methods (SOMs) often perform suboptimal performance under significant noise conditions due to the ...
WaveDL is a deep learning framework built for wave-based inverse problems — from ultrasonic NDE and geophysics to biomedical tissue characterization. It provides a robust, scalable training pipeline ...
Part of Proceedings, 9th International IUPAP Conference on Few Body Problems in Physics (FB9): Eugene, Oregon, August 17-23, 1980, 61-73 Plots of the numerical solutions of the Faddeev equations in ...
Abstract: Recently, deep-learning (DL) approaches have shown their advantages in solving scientific problems including full-wave nonlinear inverse problems. However, these data-driven methods face ...
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