Brain-computer interfaces (BCIs) aim to directly bridge the human brain and the outside
world through acquiring and processing the brain signals in real time. In recent two decades …

This paper discusses the application of digital information management tools in the context
of financial control. In Bulgaria, such research is innovative as it is the first time that digital …

Big Data plays a crucial role in the medical sector, fundamentally transforming the collection,
organization, and interpretation of medical data. This shift significantly enhances healthcare …

This work addresses the challenge of classifying multiclass visual EEG signals into 40
classes for brain–computer interface applications using deep learning architectures. The …

The digital transformation is a dynamic process that unfolds within the data and information
cycle, aimed at maximizing the efficiency businesses derive from data and information. For …

This study is intended to improve the motor imagery classification performance of two-class
data points using newly developed covariance decentering eigenface analysis (CDC-EFA) …

This paper proposes a novel deep learning architecture for EEG-based Brain-Computer
Interface (BCI) systems, optimized for real-world deployment. BCI is fundamentally a …

The concept of enriching the visible reality with more information has led to the development
of the eXtended Reality technology, where digital elements like text, images, 3D …

The combination of brain cells and artificial intelligence (AI) is a paradigm shift in the
healthcare industry that provides previously unheard-of chances for creativity and change in …

This work addresses the challenge of EEG visual multiclass classification into 40 classes for
Brain-Computer interface applications, by using deep learning architectures. The visual …