Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...
Abstract: Convolutional Neural Networks (CNNs) based methodologies have found extensive application in Electrical Impedance Tomography (EIT). Convolution is commonly employed for uniform domains like ...
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