Industrial Internet of Things (IIoT) and its applications have seen a paradigm shift since the
advent of artificial intelligence and machine learning. However, these methods are mostly …

Electroencephalogram (EEG) signals are widely applied in emotion recognition, sentiment
analysis, disease classification, sleep disorder identification, and fatigue detection. Recent …

Emotion recognition from electroencephalogram (EEG) signals has garnered significant
attention owing to its potential applications in affective computing, human-computer …

In this paper Naive Bayesian classifiers were applied for the purpose of differentiation
between the EEG signals recorded from children with Fetal Alcohol Syndrome Disorders …

The goal of rehabilitation is to aid individuals in their recovery from any resulting physical,
cognitive, and functional deficits of stroke. However, the use of traditional rehabilitation often …

This paper proposes a Machine Learning (ML) based ensemble framework to identify
neuroatypicality among individuals. The focus of this study is neuroatypicality, which refers …

Recent and past researches have shown an increasing number of patients who are affected
by epilepsy or epileptic seizure, which is a neurological disorder. Electroencephalogram …