Abstract: In this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning technology ...
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...
Abstract: Inspired by a discretized formulation resulting from volume integral equation and method of moments, we propose an electric flux density learning method (EFDLM) using cascaded neural ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback