Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
A new technology advance has led to the introduction of new actuators that combine motor, drive, gearing, and feedback into a single CANopen device that relieves much of the burden of traditional ...
Abstract: Extracting effective information from massive data and mining potentially valuable relationships has become a hot topic in the current research field. Web crawler has the function of ...
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