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 ...
As the router market matures, the number of product options is strangely expanding. But how different are they inside, really ...
Abstract: Electric machine optimization requires the analysis of hundreds to thousands of design candidates. As usually finite element analyses (FEA) are applied, this follows high computational cost ...
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