Abstract: Dear Editor, This letter investigates a low-complexity data-driven adaptive proportional-integral-derivative (APID) control scheme to address the output tracking problem of a class of ...
Abstract: Deep neural networks excel in a wide range of tasks but require diverse datasets to prevent overfitting. Overfitting occurs when a network fits training data too precisely, leading to poor ...
The exponential growth of data centers, driven by cloud computing, AI processing, and digital services, has created unprecedented power demands that challenge traditional power distribution systems.
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