Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
Abstract: Reducing the number of antenna elements within a fixed aperture while maintaining low sidelobe levels is a key challenge in sparse array design. Although various sidelobe suppression ...
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