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Data synthesis and classification through machine learning for detecting mild cognitive impairment
(2022-03-30)
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
(2020-09-04)
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
(2021-06-07)
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 ...