Abstract: Graph convolutional networks (GCNs) have gained popularity in industrial fault diagnosis due to their ability to model complex relationships between nodes. However, when dealing with ...

The astronomical community is in a state of shock following the release of a new set of eight high-resolution spacecraft images. These photos reveal the interstellar visitor known as 3I ATLAS with a ...

Abstract: Graph convolutional networks (GCNs) excel in skeleton-based action recognition by modelling human body skeletons as spatiotemporal graphs. In current GCN-based approaches, the graph topology ...

The auto industry is bracing for another earth-shaking transition as two of the world’s largest players (Nissan and Mercedes) are set to end their Mexican production ties. This billion-dollar ...