The demand for large-scale data samples has always been a significant bottleneck in the application of artificial intelligence methods in the field of electromagnetic compatibility (EMC) of integrated ...

Deep graph convolutional networks (GCNs) have shown promising performance in traffic prediction tasks, but their practical deployment on resource-constrained devices faces challenges. First, few ...