Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

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 ...

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

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

Broadcom Inc. (NASDAQ:AVGO) has launched Arcot Smart Ruleset, a machine learning–based fraud detection platform designed to ...

-- 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 ...

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