The integration of blockchain technology in the Industrial Internet of Things (IIoT) for
sustainable supply chain management in the context of Industry 4.0 offers several potential …

This article comprehensively reviews the emerging concept of Internet of Intelligent Things
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …

Recent publications underscore the critical implications of adapting to dynamic
environments for enhancing the performance of material and information flows. This study …

The Industry 4.0 paradigm reshapes labor dynamics, substituting human activities with
efficient machines and interconnecting systems into complex networks. This transformation …

Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

A two-layer soft voting ensemble machine learning based algorithm for the diagnosis of turn-
to-turn faults in the stator winding of three-phase induction motors is presented. The …

This paper presents a novel integration of Systems Engineering (SE) methodologies and
Industry 4.0 (I4. 0) technologies in the design of robotic systems, focusing on enhancing …

The manufacturing industry continues to suffer from inefficiency, excessively high prices, and
uncertainty over product quality. This statement remains accurate despite the increasing use …

Industry 4.0 has transformed manufacturing with real-time plant data collection across
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …

Abstract The function of Artificial Intelligence (AI) in Human-Robot Cooperation (HRC) in
Industry 4.0 is unequivocally important and cannot be undervalued. It uses Machine …