IEEE

Classification of Equatorial Ionospheric Irregularities Using Unsupervised Machine Learning Based on Spatiotemporal ROTI Keograms

Abstract: Equatorial ionospheric irregularities, particularly those associated with equatorial plasma bubbles (EPB), can significantly disrupt satellite navigation and communication systems. As the ...
IEEE

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique

Abstract: The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into ...
blockchain

Deep Research by GeminiApp Revolutionizes AI Learning with Visuals: Charts, Diagrams, and Animations for Enhanced Understanding

According to GeminiApp on Twitter, Deep Research now enhances AI-powered learning by integrating dynamic visuals such as charts, diagrams, and animations. This feature allows users not only to read in ...
Frontiers

Image-text guided fundus vessel segmentation via attention mechanism and gated residual learning

Background: Fundus vessel segmentation is crucial for the early diagnosis of ocular diseases. However, existing deep learning-based methods, although effective for detecting coarse vessels, still face ...
Forbes

Tesla Deploys Robotaxis With Nobody In Them. Are They Unsupervised?

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...