In response to the burgeoning interest in the Metaverse—a virtual reality-driven immersive
digital world—this study delves into the pivotal role of AI in sha** its functionalities and …

The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …

The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …

Due to energy's global reliance on fossil fuels and population growth, Greenhouse gas
(GHG) emissions and their repercussions have attracted attention. Due to their cheaper cost …

Benchmarking brain–computer interface (BCI) applications, considering all available smart
training environment (STE) criteria, is a challenging task due to the following issues …

Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …

When COVID-19 spread in China in December 2019, thousands of studies have focused on
this pandemic. Each presents a unique perspective that reflects the pandemic's main …

The exact nature, harmful effects and aetiology of autism spectrum disorder (ASD) have
caused widespread confusion. Artificial intelligence (AI) science helps solve challenging …

Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in
addressing uncertainty across diverse domains. Despite its recognized utility in managing …

Develo** a comprehensive data-driven strategy for evaluating the organisational culture
in companies to foster digital innovation involves a multi-criteria decision-making (MCDM) …