An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

Researchers at North Carolina State University have developed an AI-enhanced electrochemical sensing method to quickly and accurately quantify viral vectors used in gene therapies. The approach uses ...

-- PanGIA Analysis System, a novel machine learning platform for non-invasive diagnosis of oral cancer through an oral sample -- PanGIA Analysis System, a novel machine learning platform for ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...