Abstract: This article investigates the distributed optimal output consensus problem of heterogeneous linear multiagent systems over weight-unbalanced directed networks. A novel distributed continuous ...
Abstract: This paper proposes a novel framework for heterogeneous data fusion and anomaly detection in Internet of Things (IoT) systems using spatio-temporal graph neural networks (GNNs). The ...
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