Abstract: Traffic flow forecasting is a classical research topic in spatio-temporal data mining with many real-world applications. Traditional spatio-temporal graph neural networks (STGNNs) jointly ...
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Abstract: In recent years, distributed Kalman filtering has emerged as a critical method for state estimation over wireless sensor networks. However, the sharing of information among various nodes ...
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