IEEE

Unsupervised Learning-Based Low-Complexity Integrated Sensing and Communication Precoder Design

Abstract: This study proposes an unsupervised deep learning-based (DL-based) approach to precoding design for integrated sensing and communication (ISAC) systems. Designing a dynamic precoder that can ...

Hidden seismicity patterns before large earthquakes uncovered

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Unsupervised Deblurring Algorithm Based on Deep Image Prior for Vehicle Detection Systems

Abstract: Radiation imaging vehicle inspection systems are widely employed in public security applications. However, at high inspection speeds, the resulting radiation images often become blurry and ...
bjo.bmj

DeepAdapter: a generalisable algorithm integrating self-supervised learning and unsupervised domain adaptation for robust retinopathy of prematurity screening

2 School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...