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Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook
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 …
becoming more and more dynamic, connected but also inherently more complex, with …
Digital twin in the IoT context: A survey on technical features, scenarios, and architectural models
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 …
refers to the ability to clone a physical object (PO) into a software counterpart. The …
[HTML][HTML] Industry 4.0 smart reconfigurable manufacturing machines
This paper provides a fundamental research review of Reconfigurable Manufacturing
Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized …
Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized …
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 …
revolution has grown and expanded from some theoretical concepts to real-world …
Secure hierarchical fog computing-based architecture for industry 5.0 using an attribute-based encryption scheme
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 …
technologies work together to bring revolutionary changes to work processes. It is the future …
[HTML][HTML] Applications of reinforcement learning in energy systems
Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …
renewable energy technologies and improve efficiencies, leading to the integration of many …
Machine learning-based intrusion detection for smart grid computing: A survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …
significantly applied and advanced the state-of-the-art system security and defense …
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
[HTML][HTML] Intelligent manufacturing in the context of industry 4.0: a review
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 …
manufacturing, along with mass customization, better quality, and improved productivity. It …
Driven by data or derived through physics? a review of hybrid physics guided machine learning techniques with cyber-physical system (cps) focus
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 …
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …