Tech Xplore

Detection of concealed explosives using terahertz spectral imaging and deep learning

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
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DenseNet Architecture Explained | Beginner’s Deep Learning Tutorial

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
Frontiers

A multi-view multimodal deep learning framework for Alzheimer's disease diagnosis

Introduction: Early diagnosis of Alzheimer's disease (AD) remains challenging due to the high similarity among AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, as well as ...
Sports Illustrated

Why Robert Saleh May Have Accused the Jaguars of (Legal!) Sign Stealing

Conor Orr talks to NFL coaches about the mental warfare involved in pilfering signals and why the 49ers’ defensive coordinator may have brought it up now. On Thursday, just three days before the 49ers ...
Frontiers

A novel MRI-based deep learning–radiomics framework for evaluating cerebrospinal fluid signal in central nervous system infection

Introduction: Accurate and timely diagnosis of central nervous system infections (CNSIs) is critical, yet current gold-standard techniques like lumbar puncture (LP) remain invasive and prone to delay.
IEEE

Blind Beamforming via Deep Learning-Based Signal Classification and Transfer Learning

Abstract: We propose a new cognitive technique for blind adaptive beamforming which uses a pre-trained deep learningbased signal classifier to protect a signal of interest (SOI) from interference. The ...