Abstract: Digital twins (DTs) represent a transformative paradigm in personalized medicine, enabling real-time, patient-specific simulations that support precision diagnosis, continuous monitoring, ...
Abstract: The increasing vulnerability of power systems to cyber-attacks has underscored the need for robust data-driven anomaly detection methods. However, existing datasets used to evaluate these ...
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