Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

This study supplies contributions to the existing literature with a state-of-the-art bibliometric
review of sustainable industrial and operation engineering as the field moves toward …

Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …

Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …

The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

The automotive industry is increasingly focusing on autonomous vehicles, leading to a need
for intelligent systems that enable safe and efficient self-driving. Fog computing is a …

The consensus algorithm is the core component of a blockchain system, which determines
the efficiency, security, and scalability of the blockchain network. The representative …

This study contributes to state‐of‐the‐art circular business strategies (CBSs) for Industry 4.0
(I4. 0) by designating the critical indicators since the advent of I4. 0 and demonstrating the …