Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...

This performance testing framework evaluates the maximum throughput of a Kafka cluster, and compares the put latency of different broker, producer, and consumer configurations. To run a test, you need ...

Conclusions: Health care AI systems face significant security challenges that current regulatory frameworks and validation practices do not adequately address. We propose a multilayered defense ...

Abstract: Data-driven methods have significantly advanced optimal learning control, but some approaches overlook systematic considerations of data utilization ...

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Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...