Abstract: The increasing adoption of Deep Neural Networks (DNNs) has led to their application in many challenging scientific visualization tasks. While advanced DNNs offer impressive generalization ...
Abstract: We introduce a novel approach for the mask-constrained power synthesis of 1-D fields enabling near-field shaping according to arbitrary masks. This method presents an innovative framework ...
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