Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …

Dyslexia is the hidden learning disability, neurobiological in origin wherein students face
hard time in accurate or fluent word recognition, connecting letters to the sounds. In India …

This paper presents the proposal of a method to recognize emotional states through EEG
analysis. The novelty of this work lies in its feature improvement strategy, based on …

Emotion recognition is one of the significant research areas and applications of
electroencephalography (EEG)-based brain–computer interface (BCI), which is widely …

Due to energy consumption's increasing importance in recent years, energy-time efficiency
is a highly relevant objective to address in High-Performance Computing (HPC) systems …

Background Incorporating the time-frequency localization properties of Gabor transform
(GT), the complexity understandings of convolutional neural network (CNN), and histogram …

Sleep quality is an essential parameter of a healthy human life, while sleep disorders such
as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold …

Objective. The current practices of designing neural networks rely heavily on subjective
judgment and heuristic steps, often dictated by the level of expertise possessed by …

Emotions are important factors in decision-making. With the advent of brain-computer
interface (BCI) techniques, researchers developed a strong interest in predicting decisions …

Soft sensors based on deep learning approaches are growing in popularity due to their
ability to extract high-level features from training, improving soft sensors' performance. In the …