As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection
Abstract: The Industrial Internet of Things (IIoT) faces significant cybersecurity threats due to its ever-changing network structures, diverse data sources, and inherent uncertainties, making robust ...
Abstract: Brain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions derived from functional magnetic ...
Earlier this week we looked at how elite players train connection to keep their swings organized under pressure. Now, the focus shifts to balance and backswing coil, the foundation that allows speed ...
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