Artificial Intelligence in Machine Learning Approaches for Smart Manufacturing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (20 June 2022) | Viewed by 4780
Special Issue Editors
Interests: super abrasive machining; milling; manufacturing
Special Issues, Collections and Topics in MDPI journals
Interests: mechanical engineering; coatings; machining; manufacturing of aeroengine components
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Industry 4.0 is now underway, changing traditional manufacturing processes into smart manufacturing. Smart manufacturing is one of the main industries to make full use of artificial intelligence and machine-learning technologies. Artificial intelligence is making machines smarter than before in the manufacturing industry by addressing how to build computers that improve automatically with experience. This Special Issue is open to new findings and approaches related to the current challenges and opportunities for the applications of artificial intelligence in smart manufacturing. We encourage researchers to contribute to this Special Issue, including, but not being limited to, the following subject areas:
- Real-time monitoring with machine learning;
- Artificial intelligence for predictive maintenance;
- Production scheduling with reinforcement learning;
- Artificial intelligence and robotics in smart manufacturing;
- IoT-enabled smart manufacturing;
- Digital twin-driven smart manufacturing.
Dr. Haizea González-Barrio
Dr. Amaia Calleja-Ochoa
Guest Editors
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Keywords
- smart manufacturing
- machine learning
- digital twins
- monitoring and control in manufacturing
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