Effective management of cognitive workload is essential to ensure user performance and minimize mental fatigue. This study aimed to evaluate the effectiveness of three machine learning (ML) algorithms, including a Support Vector Machine (SVM), a Random Forest (RF) and Random Fourier Features (RFF) models, for predicting instances of high cognitive workload based on physiological data collected fro...Show More
Network traffic classification is a part of many cybersecurity applications, such as intrusion detection systems and anomaly detection. Currently, many cybersecurity tasks employ a cloud computing architecture, including network traffic classification. However, this architecture may not be able to meet the latency demands in the future with the ever-increasing number of network data. Therefore, we...Show More
