Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
This study aimed to investigate the association between changes in cerebral degree centrality (DC) and clinical outcomes in patients with herpes simplex encephalitis (HSE). All participants underwent ...
Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...
This project uses the Mask R-CNN algorithm to detect features in satellite images. The goal is to test the Mask R-CNN neural network algorithm and improve OpenStreetMap by adding high quality baseball ...
Laboratory of Microbial and Bio-Chemical Technology (Lab μBCT), Department of Microbial and Molecular Systems, KU Leuven-Bruges Campus, Brugge, Belgium. It is important that a preservative is added to ...
You can connect to the team via the app using "chat with the developers button" available when you have no conversations in the profile, "Send questions and ideas" in the app settings or via our ...
aInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar bWorld Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, ...
Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...
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