Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
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 ...
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 ...
HSV infection of the eye causes pain and hazy vision. Antiviral eye medicines, interferon drops, and superficial wiping have been used to cure HSV infection of the corneal surface. The first ...
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 ...
When top White House defense and national security leaders discussed plans for an attack on targets in Yemen over the messaging app Signal, it raised many questions about operational security and ...
Scientists have developed a new artificial intelligence (AI) diagnostic tool that can help identify autism risk in toddlers. A new study shows how AI machine learning can predict Autism Spectrum ...
Abstract: We report on a simple and fast method to estimate the fiber dispersion and laser chirp parameters on a dispersive Intensity Modulation and Direct Detection (IM/DD) optical channel. Based on ...
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