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: Sidelobes (SLs) in the two-way radiation pattern are of serious concern in a radar array. Several techniques have evolved to mitigate the problem, which include amplitude tapering, genetic ...