Advances in Artificial Intelligence in Manufacturing II
Springer International Publishing (Verlag)
978-3-031-86488-9 (ISBN)
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.
| Erscheinungsdatum | 24.03.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Mechanical Engineering |
| Zusatzinfo | XVI, 288 p. 105 illus., 89 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Maschinenbau | |
| Schlagworte | AI in Human-Robot Interaction • AI in Manufacturing Processes • Big Data Management in Manufacturing • Digital Twin in Manufacturing • Generative AI in Manufacturing • Human Factors in Manufacturing • Human-Robot Collaboration • Large Language Models in Manufacturing • Machine Learning for Quality Inspection • open access • Surrogate Models in Manufacturing |
| ISBN-10 | 3-031-86488-3 / 3031864883 |
| ISBN-13 | 978-3-031-86488-9 / 9783031864889 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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