The application of deep learning methods to raw electroencephalogram (EEG) data is
growing increasingly common. While these methods offer the possibility of improved …

As the field of deep learning has grown in recent years, its application to the domain of raw
resting-state electroencephalography (EEG) has also increased. Relative to traditional …

The exponential growth of e-commerce has necessitated the adoption of robust, scalable,
and secure database technologies. This paper conducts a comparative analysis of three …

Background: The most common type of cancerous bone tumour is Osteosarcoma.
Microscopic analysis of coloured slides is mostly used for Osteosarcoma diagnosis. As …

Deep learning methods are increasingly being applied to raw electroencephalogram (EEG)
data. However, if these models are to be used in clinical or research contexts, methods to …

A growing number of people are using electroencephalography (EEG) as a noninvasive way
to record and monitor their brainwaves. An EEG is a technique that captures the electric …

There is an important application value in assessing an operator's mental pressure (MP)
level in human–computer cooperative tasks through continuous asymmetric …

The book features selected high-quality papers presented at the International Conference
on Advanced Communication and Intelligent Systems (ICACIS 2023), organized by Warsaw …

The lack of very precise emotion recognition in current human-computer interactions (HCI) is
a technology gap. In their interactions with people, these systems are unable to adequately …

Проведено клініко-параклінічне дослідження ефективності та безпеки застосування
нефармакологічного методу інтервального харчування (ІХ, ще відомого за синонімами …