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 ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is transforming how organizations anticipate and counter cyber attacks.

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

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

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

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...

PanGIA Biotech, Inc. ("PanGIA Biotech" or "Company") announced that two research abstracts have been accepted for ...