In real-life applications, electroencephalogram (EEG) signals for mental stress recognition
require a conventional wearable device. This, in turn, requires an efficient number of EEG …

Although convergent evidence has shown that patients with mild stroke (MS) are commonly
accompanied by post-stroke cognitive and/or memory impairment, only disproportionate …

When dealing with complex and redundant data classification problems, many classifiers
cannot provide high predictive accuracy and interpretability. We also find that the least …

Evidence suggests that human emotions can be detected using Electroencephalography
(EEG) brain signals. Recorded EEG signals, due to their large size, may not initially perform …

Brain stroke stands out as a leading cause of death, distinguishing it from common illnesses
and highlighting the critical need to utilize machine learning techniques to identify …

Depression is silent yet serious illness leading to functional disabilities of individuals. Early
diagnosis for depression is necessary to reduce socio-economic burden. Recently …

This thesis investigated cutting power in circular sawing with two primary objectives:
analyzing the effects of five main factors—wood species (Douglas-fir and Western maple) …