Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...
Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...
Abstract: Currently, deep neural networks (DNNs) are susceptible to adversarial attacks, particularly when the network's structure and parameters are known, while most of the existing attacks do not ...
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