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 ...

Best Tech of the Year: PCMag Editors Select the Top Products of 2025 Over the past 12 months, we've tested and reviewed more than 1,200 hardware and software products. These are the best of the best ...

Technology has found its place in the finance industry, spawning fintech companies and changing the way the industry operates as a whole. One area finally feeling the effects of tech is trading ...

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 ...

UnDIP is a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted using a geometric endmember ...

Crunching hard grains together leads to their rigidification, irrespective of how the system is prepared. While certain features of the resulting jammed materials—e.g. their contact force distribution ...

Department of Mechanical Engineering, College of Engineering, King Saud University, 13415 Riyadh, Saudi Arabia ...