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 ...

Protecting children online: What India can learn from Australia and beyond

The tragic death of three sisters in Ghaziabad earlier this year, triggered a national conversation about the impact of ...
IEEE

Anomaly Detection Algorithm for Ophthalmic Images Based on Unsupervised Learning

There is a problem of diverse abnormal regions in ophthalmic images. This study proposes an anomaly detection algorithm based on unsupervised learning. The variational autoencoder (VAE) is used to ...