Artificial intelligence for smart manufacturing : methods, applications, and challenges / Kim Phuc Tran, editor.
Tran, Kim Phuc, 1986- editor.
2023
TS183 .A78 2023
Available Online

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Title Artificial intelligence for smart manufacturing : methods, applications, and challenges / Kim Phuc Tran, editor.
ISBN 9783031305108 (electronic bk.)
3031305108 (electronic bk.)
3031305094
9783031305092
DOI https://doi.org/10.1007/978-3-031-30510-8
Published Cham : Springer, [2023]
Language English
Description 1 online resource (271 p.).
Other Standard Identifiers 10.1007/978-3-031-30510-8 doi
Call Number TS183 .A78 2023
Dewey Decimal Classification 670.28563
Summary 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 technologies to enhance productivity and quality, the transition to Industry 5.0 has introduced a new concept known as augmented intelligence (AuI), combining artificial intelligence (AI) with human intelligence (HI). As the demand for smart manufacturing continues to grow, this book serves as a valuable resource for professionals and practitioners looking to stay up-to-date with the latest advancements in Industry 5.0. Covering a range of important topics such as product design, predictive maintenance, quality control, digital twin, wearable technology, quantum, and machine learning, the book also features insightful case studies that demonstrate the practical application of these tools in real-world scenarios. Overall, this book provides a comprehensive and up-to-date account of the latest advancements in smart manufacturing, offering readers a valuable resource for navigating the challenges and opportunities presented by Industry 5.0.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 13, 2023).
Added Author Tran, Kim Phuc, 1986- editor.
Series Springer series in reliability engineering.
Available in Other Form Artificial Intelligence for Smart Manufacturing
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1: Introduction to Artificial Intelligence for Smart Manufacturing
Chapter 2: Articial 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 exible ow-shop intelligent scheduling based on a hybrid intelligent algorithm
Chapter 7: Personalized pattern recommendation system of mens shirts
Chapter 8: Ecient 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 Articial Intelligence for Cybersecurity in Smart Manufacturing
Chapter 11: Wearable technology for Smart Manufacturing in Industry 5.0
Chapter 12: Benets of using Digital Twin for online fault diagnosis of a manufacturing system.

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