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Advances in Artificial Intelligence in Manufacturing II: Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece [Hardback]

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  • Formāts: Hardback, 288 pages, height x width: 235x155 mm, 89 Illustrations, color; 16 Illustrations, black and white; XVI, 288 p. 105 illus., 89 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Mechanical Engineering
  • Izdošanas datums: 22-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031864883
  • ISBN-13: 9783031864889
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  • Hardback
  • Cena: 46,91 €*
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Advances in Artificial Intelligence in Manufacturing II: Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, GreecePalielināt
  • Formāts: Hardback, 288 pages, height x width: 235x155 mm, 89 Illustrations, color; 16 Illustrations, black and white; XVI, 288 p. 105 illus., 89 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Mechanical Engineering
  • Izdošanas datums: 22-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031864883
  • ISBN-13: 9783031864889
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031864889.html
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This open access book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the second European Symposium on Artificial Intelligence in Manufacturing, held on October 16, 2024, in Athens, Greece, it reports on machine learning, deep learning and generative AI models for process monitoring, optimization, and control, flexible and precise industrial robots, human-robot collaboration, data management and information technologies, digital twins, data augmentation and synthetic data. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems, automation and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, system developers, AI scientists and industrial managers.

.- Part I AI in Process Level.- 1 Digital Twins of manufacturing
processes under Industry 5.0.- 2 Recurrent Convolutional Neural Network based
defect detection in Submerged Arc Welding processes.- 3 On the use of
Generative AI to support in-line process monitoring in Zero-Defect
Manufacturing.- 4 Laser Metal Deposition (LMD) process monitoring: from 3D
visualization of sensor data towards anomaly detection.- 5 An explainable
active learning approach for enhanced defect detection in manufacturing, etc.