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 ...
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 ...
Regulatory pressure is no longer limited to a single geography or industry. Enterprises must simultaneously address GDPR, CCPA, HIPAA, PCI DSS, and emerging AI governance mandates – while continuing ...
Background Widespread use of respiratory protection masks has become a critical component of public health response. Objectives This systematic review synthesises the evidence on the acute ...
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