Aug 9, 2023 · We propose a multidomain weight-sharing method (MDWS) for inverse scattering problems (ISPs), which increases the generalization ability of learning approaches.
In this work, we propose a multi-domain weight-sharing method (MDWS) for inverse scattering problems, which increases the generalization ability of learning ...
In this work, we propose a multi-domain weight-sharing method (MDWS) for inverse scattering problems, which increases the generalization ability of learning ...
Wei, Push the Generalization Limitation of Learning Approaches by Multi-Domain Weight-Sharing for Full-Wave Inverse Scattering. IEEE Transactions on ...
Push the Generalization Limitation of Learning Approaches by Multidomain Weight-Sharing for Full-Wave Inverse Scattering. IEEE Trans. Geosci. Remote. Sens ...
In this article, a novel machine learning network is presented for solving 2‐D electromagnetic (EM) inverse scattering problems (ISPs).
Jan 9, 2024 · He, R. Song, and Z. Wei, “Push the generalization limitation of learning approaches by multi-domain weight-sharing for full-wave inverse ...
Feb 1, 2022 · In this study, a novel deep auto-encoder (DAE) based approach is proposed in order to solve a benchmark inverse problem consisting in designing assemblies of ...
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Oct 1, 2021 · Push the Generalization Limitation of Learning Approaches by Multidomain Weight-Sharing for Full-Wave Inverse Scattering. IEEE Transactions ...
May 29, 2024 · Wei, “Push the generalization limitation of learning approaches by multi-domain weight-sharing for full-wave inverse scattering,” IEEE ...