This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …

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

Globally, governments are contributing to the four main concerns of this century, namely,
boosting urban air quality, halting climate change, ensuring energy security and mitigating …

Recent research has focused on developing real-time sign language recognition systems
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …

Routing algorithms play a crucial role in the performance of Network-on-Chip (NoC)-based
Multi-Processor Systems-on-Chip (MPSoC). However, the selection of appropriate and …

This paper proposes a novel ship energy systems (SESs) benchmarking model for
performance measurement of sustainable transportation based on the extension of q-rung …

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 Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Fuzzy-Decision-by-Opinion-
Score-Method (FDOSM) are considered the recent advance methods. FDOSM generates a …

Building a sustainable transportation system without involving international oil companies
(IOCs) is an unrealistic feat. To date, no study has determined the best IOC and low …

This study presents a review of literature on the usage of artificial neural networks (ANNs)
architecture contribution method and structural equation modeling (SEM), and proposes a …