The cyber–physical infrastructure of a smart grid requires data-dependent artificial
intelligence (AI)-based forecasting schemes for predicting different aspects for the short-to …

Abstract Within the Intelligent Public Transportation Systems (IPTS) field, the prediction of
public transportation demand is a key point for enhancing the quality of the services. These …

Recent improvements in networking technologies have led to a significant shift towards
distributed cloud-based services. However, adequate management of computation …

Audio has always been a powerful resource for biometric authentication: thus, numerous AI-
based audio authentication systems (classifiers) have been proposed. While these …

Recently, improving supply chain transparency has become a challenge faced by many
Small-Medium Enterprises (SMEs) in manufacturing supply chain. Implementing blockchain …

Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …

In this paper, a fuzzy-dependent adaptive event-triggered mechanism (FAETM) for
synchronizing Takagi–Sugeno (T–S) fuzzy reaction–diffusion neural networks (RDNNs) is …

Currently, the boom in B2B e-commerce logistics and the fragmentation of logistics networks
have put tremendous pressure on the efficient and economical routing of packages. The …

Derailments significantly harm railroads in terms of severity and fatality rates. Manually
monitoring railway tracks is a tedious and often insufficient task to prevent derailment …

Fault localization is crucial for ensuring stability, particularly in high impedance faults (HIF)
characterized by low current levels and prolonged transient processes (TP). Existing …