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 ...
Large-scale infrastructure projects, interconnection schemes, and renewable energy developments continue to shape the ...
A cornerstone of effective STCO is the ability to conduct multi-domain analyses—for example, signal integrity, power ...
Abstract: Considering the extensive research on zeroing neurodynamic (ZN), a self-adaptive and enhanced fixed-time convergent ZN (SEFC-ZN) method for addressing time-variant problems is presented in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results