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Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges - Springer Series in Reliability Engineering 2023 edition
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Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges - Springer Series in Reliability Engineering
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 applicationof 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.
269 pages, 55 Illustrations, color; 11 Illustrations, black and white; VI, 269 p. 66 illus., 55 illu
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2024年6月3日 |
| ISBN13 | 9783031305122 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 269 |
| 寸法 | 150 × 220 × 10 mm · 423 g |
| 言語 | ドイツ語 |
| 編集者 | Tran, Kim Phuc |