A systematic review of Long COVID identifies symptom clusters, highlighting fatigue and proposing a management framework for ...

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 ...

Randomized controlled trials (RCTs) are considered the gold standard for evaluating surgical interventions for benign prostatic hyperplasia (BPH). However, the validity and reliability of their ...

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 ...