Wind turbine control systems have evolved significantly over the past decades, moving from simple classical controllers to sophisticated artificial intelligence-based strategies. Early utility-scale ...

Abstract: Despite their many potential applications, graph neural networks (GNNs) are challenging to deploy on low-resource devices like Internet of Things nodes and mobile platforms due to their high ...

Abstract: This paper proposes a finite-time PID-like sliding mode control strategy that uses an event-triggered mechanism (ETM) and a perturbation observer. It achieves finite-time stability of ...

1 Guangdong Power Grid Corporation Foshan Power Supply Bureau, Foshan, China 2 Electric Power Research Institute of China Southern Power Grid, Guangzhou, Guangdong, China Introduction: The escalating ...

GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...

In the nether regions of the "NEXTech" area of Fira Gran Via, the enormous venue in Barcelona where Mobile World Congress is taking place, I've learned that graphene is important. Among the several ...