000 | 01726 a2200169 4500 | ||
---|---|---|---|
020 | _a9783031305092 | ||
082 | _a006.3 TRA | ||
100 | _aTran, Kim Phuc | ||
245 | _aArtificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges | ||
260 |
_bSpringer _aCham, Switzerland _c2023 |
||
300 | _a269 | ||
520 | _aThis 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. | ||
650 | _aArtificial Intelligence | ||
650 | _aTechnology & Engineering, | ||
650 | _aIndustrial Engineering | ||
942 |
_cBK _2ddc |
||
999 |
_c46159 _d46159 |