Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook

RS Peres, X Jia, J Lee, K Sun, AW Colombo… - IEEE …, 2020 - ieeexplore.ieee.org
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …

[HTML][HTML] Applications of reinforcement learning in energy systems

ATD Perera, P Kamalaruban - Renewable and Sustainable Energy …, 2021 - Elsevier
Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …

Industry 4.0, a revolution that requires technology and national strategies

F Yang, S Gu - Complex & Intelligent Systems, 2021 - Springer
Since 2011, when the concepts of Industry 4.0 were first announced, this industrial
revolution has grown and expanded from some theoretical concepts to real-world …

Digital twin in the IoT context: A survey on technical features, scenarios, and architectural models

R Minerva, GM Lee, N Crespi - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
Digital twin (DT) is an emerging concept that is gaining attention in various industries. It
refers to the ability to clone a physical object (PO) into a software counterpart. The …

[HTML][HTML] Industry 4.0 smart reconfigurable manufacturing machines

J Morgan, M Halton, Y Qiao, JG Breslin - Journal of Manufacturing Systems, 2021 - Elsevier
This paper provides a fundamental research review of Reconfigurable Manufacturing
Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized …

[HTML][HTML] Intelligent manufacturing in the context of industry 4.0: a review

RY Zhong, X Xu, E Klotz, ST Newman - Engineering, 2017 - Elsevier
Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in
manufacturing, along with mass customization, better quality, and improved productivity. It …

A survey on security control and attack detection for industrial cyber-physical systems

D Ding, QL Han, Y **ang, X Ge, XM Zhang - Neurocomputing, 2018 - Elsevier
Abstract Cyber-physical systems (CPSs), which are an integration of computation,
networking, and physical processes, play an increasingly important role in critical …

Secure hierarchical fog computing-based architecture for industry 5.0 using an attribute-based encryption scheme

S Rani, G Srivastava - Expert Systems with Applications, 2024 - Elsevier
Industry 5.0 is an emerging phase in the industrial field where humans and the latest
technologies work together to bring revolutionary changes to work processes. It is the future …

Cyber-physical systems and their security issues

R Alguliyev, Y Imamverdiyev, L Sukhostat - Computers in Industry, 2018 - Elsevier
The creation of cyber-physical systems posed new challenges for people. Ensuring the
information security of cyber-physical systems is one of the most complex problems in a …

Driven by data or derived through physics? a review of hybrid physics guided machine learning techniques with cyber-physical system (cps) focus

R Rai, CK Sahu - IEEe Access, 2020 - ieeexplore.ieee.org
A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …