Likened to the economic calamity of World War Two, the COVID-19 pandemic has sparked
fears of a deep economic crisis, killed more than six million people worldwide and had a …

Wireless sensor networks (WSNs) are a major part of the telecommunications sector. WSN is
applied in many aspects, including surveillance battlefields, patient medical monitoring …

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 …

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

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 …

Many of the current fuzzy sets based on intuitionistic fuzzy concepts suffer from different
limitations. Different approaches towards that end in the form of scientific works have been …

The task of benchmarking smart e-tourism applications based on multiple smart key concept
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …

Availability and diversity of cloud service providers (CSPs) had put the users into confusion
for its selection of the appropriate service providers. Some cloud service providers are good …