Artificial Intelligence for Smart Manufacturing Methods, Applications, and Challenges /
This book provides readers with a comprehensive overview of the latest developments in the field of smart manufacturing, exploring theoretical research, technological advancements, and practical applications of AI approaches. With Industry 4.0 paving the way for intelligent systems and innovative te...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
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Springer International Publishing : Imprint: Springer,
2023.
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| Ausgabe: | 1st ed. 2023. |
| Schriftenreihe: | Springer Series in Reliability Engineering,
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| Online-Zugang: | https://doi.org/10.1007/978-3-031-30510-8 |
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Inhaltsangabe:
- Chapter 1: Introduction to Artificial Intelligence for Smart Manufacturing
- Chapter 2: Artificial Intelligence for Smart Manufacturing in Industry 5.0: Methods, Applications, and Challenges
- Chapter 3: Quality control for Smart Manufacturing in Industry 5.0
- Chapter 4: Dynamic Process Monitoring Using Machine Learning Control Charts
- Chapter 5: Fault Prediction of Papermaking Process Based on Gaussian Mixture Model and Mahalanobis Distance
- Chapter 6: Multi-objective optimization of flexible flow-shop intelligent scheduling based on a hybrid intelligent algorithm
- Chapter 7: Personalized pattern recommendation system of men’s shirts
- Chapter 8: Efficient and Trustworthy Federated Learning-based Explainable Anomaly Detection: Challenges, Methods, and Future Directions
- Chapter 9: Multimodal machine learning in prognostics and health management of manufacturing systems
- Chapter 10: Explainable Artificial Intelligence for Cybersecurity in Smart Manufacturing
- Chapter 11: Wearable technology for Smart Manufacturing in Industry 5.0
- Chapter 12: Benefits of using Digital Twin for online fault diagnosis of a manufacturing system.