[HTML][HTML] Smart manufacturing and intelligent manufacturing: A comparative review
The application of intelligence to manufacturing has emerged as a compelling topic for
researchers and industries around the world. However, different terminologies, namely …
researchers and industries around the world. However, different terminologies, namely …
Human-centred design in industry 4.0: case study review and opportunities for future research
The transition to industry 4.0 has impacted factories, but it also affects the entire value chain.
In this sense, human-centred factors play a core role in transitioning to sustainable …
In this sense, human-centred factors play a core role in transitioning to sustainable …
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …
integration of human-in-the-loop with technologies, to address challenges of human …
Cyber-physical systems in the context of industry 4.0: A review, categorization and outlook
Cyber-physical systems (CPS) offer great potential for the digital transformation of industrial
value creation in the context of Industry 4.0. They unify and integrate several technological …
value creation in the context of Industry 4.0. They unify and integrate several technological …
Exploring the transition from techno centric industry 4.0 towards value centric industry 5.0: A systematic literature review
E Enang, M Bashiri, D Jarvis - International Journal of Production …, 2023 - Taylor & Francis
This systematic literature review synthesises the literature on human centric IN 4.0 and IN
5.0 while exploring driving forces behind the transition from technocentric IN 4.0 to value …
5.0 while exploring driving forces behind the transition from technocentric IN 4.0 to value …
[HTML][HTML] Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers
Recent years have seen a growing involvement of researchers and practitioners in crafting
Deep Neural Networks (DNNs) that seem to outperform existing machine learning …
Deep Neural Networks (DNNs) that seem to outperform existing machine learning …
Generative ai for self-adaptive systems: State of the art and research roadmap
Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
Human-computer interaction in industry: A systematic review on the applicability and value-added of operator assistance systems
M Moencks, E Roth, T Bohné… - … and Trends® in …, 2022 - nowpublishers.com
Abstract In industry, the Fourth Industrial Revolution is transforming the roles of people,
technology and work on the shop floor. Despite ongoing strides towards automation, people …
technology and work on the shop floor. Despite ongoing strides towards automation, people …
Teleoperated mobile robot with two arms: the influence of a human-machine interface, VR training and operator age
The article presents a method of supporting work by using virtual reality techniques to
control a two-armed mobile robot's movement. The robot developed for the study can carry a …
control a two-armed mobile robot's movement. The robot developed for the study can carry a …
Online learning human behavior for a class of human-in-the-loop systems via adaptive inverse optimal control
HN Wu - IEEE Transactions on Human-Machine Systems, 2022 - ieeexplore.ieee.org
To enhance the machines' intelligence, it is important for them to learn how humans perform
tasks. In this article, the issue of online adaptive learning human behavior is addressed for a …
tasks. In this article, the issue of online adaptive learning human behavior is addressed for a …