Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage ...
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 ...
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