IEEE

Deep Learning Approaches for EEG-Motor Imagery-Based BCIs: Current Models, Generalization Challenges, and Emerging Trends

Abstract: This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) ...
PCMag

This New Malware Lives on the Blockchain and Can't Ever Be Deleted. Here's What It Can Do

Hundreds of thousands of credentials from hundreds of companies are already compromised. Experts warn the campaign could ...
Ophthalmology Advisor

AI Model Detects Cataracts From Slit Lamp Images With High Accuracy

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
IEEE

A Comprehensive Review of Object Detection Using Deep Learning

Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...