Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …
G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
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 …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing
C Liu, H Zhu, D Tang, Q Nie, T Zhou, L Wang… - Robotics and Computer …, 2022 - Elsevier
Abstract In the Industry 4.0 era, the number and complexity of machine tools are both
increased, which is prone to cause malfunctions and downtime in the manufacturing …
increased, which is prone to cause malfunctions and downtime in the manufacturing …
Green AI for IIoT: Energy efficient intelligent edge computing for industrial internet of things
Artificial Intelligence (AI) technology is a huge opportunity for the Industrial Internet of Things
(IIoT) in the fourth industrial revolution (Industry 4.0). However, most AI-driven applications …
(IIoT) in the fourth industrial revolution (Industry 4.0). However, most AI-driven applications …
How to drive the participation willingness of supply chain members in metaverse technology adoption?
X Wan, G Zhang, Y Yuan, S Chai - Applied Soft Computing, 2023 - Elsevier
Metaverse integrates a variety of digital technologies, which can significantly reduce
production costs, improve product quality and consumer experience, and has become an …
production costs, improve product quality and consumer experience, and has become an …
Recent technological progress to empower smart manufacturing: Review and potential guidelines
With growing evidence of advanced technologies-assisted smart processes, it is
fundamental to comprehend whether manufacturing systems are adequate to manage …
fundamental to comprehend whether manufacturing systems are adequate to manage …
Digital twin driven production progress prediction for discrete manufacturing workshop
W Qian, Y Guo, H Zhang, S Huang, L Zhang… - Robotics and Computer …, 2023 - Elsevier
In make-to-order manufacturing enterprises, accurate production progress (PP) prediction is
an important basis for dynamic production process optimization and on-time delivery of …
an important basis for dynamic production process optimization and on-time delivery of …
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing
The integration of advanced manufacturing processes with ground-breaking Artificial
Intelligence methods continue to provide unprecedented opportunities towards modern …
Intelligence methods continue to provide unprecedented opportunities towards modern …
[HTML][HTML] Neural agent-based production planning and control: An architectural review
Nowadays, production planning and control must cope with mass customization, increased
fluctuations in demand, and high competition pressures. Despite prevailing market risks …
fluctuations in demand, and high competition pressures. Despite prevailing market risks …