Now showing items 1-3 of 3
Data synthesis and classification through machine learning for detecting mild cognitive impairment
This thesis examines Machine Learning (ML) applicable to detecting Mild Cognitive Impairment (MCI) from gameplay data of a Serious Game (SG). The foundation of the work is a newly developed SG called WAR Cognitive Assessment ...
Cognitive discriminative feature selection using variance fractal dimension for the detection of cyber attacks
The dimensions of data have increased significantly with the abundance of the data that we share. This high-dimensional data results in redundant and irrelevant features that creates challenges to existing machine learning ...
Real-time DDoS detection based on predictive multi- and polyscale metrics for cyber-physical systems internet traffic
This research investigates the appropriateness of Information-Theoretic-Based (ITB) metrics compliant with finite sense stationarity (FSS) and derived from the Variance Fractal Dimension Trajectory (VFDT), to augment network ...