The field of omics, driven by advances in high-throughput sequencing, faces a data
explosion. This abundance of data offers unprecedented opportunities for predictive …

Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …

Modern oncology offers a wide range of treatments and therefore choosing the best option
for particular patient is very important for optimal outcome. Multi-omics profiling in …

Damage identification, especially in the early stages, is one of the most important factors in
preserving and maintaining structures and infrastructures. Structural Damage can lead to …

Tabular data analysis is a critical task in various domains, enabling us to uncover valuable
insights from structured datasets. While traditional machine learning methods can be used …

Virtual Reality (VR) has expanded beyond the entertainment field and has become a
valuable tool across different verticals, including healthcare, education, and professional …

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

In the field of motor imagery (MI) recognition based on electroencephalogram (EEG),
complex network-based analysis of brain connectivity has gained significant attention …

Brain–computer interface (BCI) provides a new communication pathway for severely
disabled people and enables them to communicate with external world using only their brain …

Abstract The Rapid Serial Visual Presentation (RSVP)-based Brain–Computer Interface
(BCI) is an efficient technology for target retrieval using electroencephalography (EEG) …