IEEE

End-to-End Open-Set Semi-Supervised Learning for Fine-Grained Encrypted Traffic Classification

Abstract: Encrypted traffic classification is crucial for enhancing network management, service quality, and security. However, real-world network environments are inherently open-world scenarios in ...
NPR

Artist David Hockney said the drive to create pictures 'is deep within us'

Legendary painter David Hockney died on Thursday at the age of 88. The late NPR correspondent Susan Stamberg spoke with the artist in 2016 about his lifelong obsession with looking. David Hockney, one ...
WUNC

Artist David Hockney said the drive to create pictures 'is deep within us'

David Hockney, one of the world's most important contemporary painters, has died at the age of 88. The British artist used electric colors to capture the world around him, something he talked about ...
Hosted on MSN

Painting high exterior fascia board with deep black coating creating bold modern finish

This video shows workers painting the fascia board and roof trim of a house while working from ladders and extension tools. The dark coating creates smooth coverage and gives the exterior a bold, ...
Hosted on MSN

Creating a fresh and cozy home with a deep clean

Creating a fresh and cozy home with a deep clean brings a sense of comfort, clarity, and renewed energy. #DeepCleaning #CozyHome #HomeRefresh #CleanHome #Lifestyle #HomeInspiration #OrganizedLiving ...
Scientific American

Trump administration takes aim at crucial ocean monitoring network

The Trump administration is targeting one of the world’s most trusted sources of climate and oceanic data—the Ocean Observatories Initiative (OOI). According to the New York Times, ships will be ...
Nature

Deep brain stimulation induces white matter remodeling and functional changes to brain-wide networks

Deep brain stimulation (DBS) is an emerging therapy for treatment-resistant neurological and psychiatric disorders. Despite this, little is known about the anatomical and functional mechanisms that ...
Nature

Improving seismic fault detection through fault-balanced patch extraction and deep learning networks (UNet, Efficient-UNet, and VGG19-UNet)

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

A Survey on the Applications of Deep Learning in Network Intrusion Detection Systems to Enhance Network Security

Abstract: Network security breaches continue to increase in both complexity and impact, making intrusion detection a critical element of modern defense strategies. Intrusion Detection Systems (IDS) ...