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: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...
The reliability of public polling has been under scrutiny since major electoral mispredictions in 2016 and 2020, when ...
Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...
E-commerce leaders are finding new ways to fight fraud with AI, biometrics and adaptive verification—keeping checkout fast, seamless and secure.
Discover how Google Maps predicts traffic routes using historical data, real-time sensors, and advanced machine learning ...
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