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Artificial Intelligence for Smart Manufacturing - Methods, Applications, and Challenges (1st ed. 2023)
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Artificial Intelligence for Smart Manufacturing - Methods, Applications, and Challenges (1st ed. 2023)
Series: Springer Series in Reliability Engineering
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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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Springer Series in Reliability Engineering |
Release date: |
July 2023 |
Editors: |
Kim Phuc Tran
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Dimensions: |
235 x 155mm (L x W) |
Pages: |
302 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-130509-2 |
Categories: |
Books
Promotions
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LSN: |
3-03-130509-4 |
Barcode: |
9783031305092 |
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