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

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.

List of contents

.- 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.

Product details

• Assisted by: Kosmas Alexopoulos (Editor), Sotiris Makris (Editor), Panagiotis Stavropoulos (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 20.04.2025
• EAN: 9783031864889
• ISBN: 978-3-0-3186488-9
• No. of pages: 288
• Dimensions: 155 mm x 20 mm x 235 mm
• Weight: 567 g
• Illustrations: XVI, 288 p. 105 illus., 89 illus. in color.
• Series: Lecture Notes in Mechanical Engineering
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Mensch-Computer-Interaktion, Open Access, Fertigungstechnik und Ingenieurwesen, Industrial and Production Engineering, Control, Robotics, Automation, User Interfaces and Human Computer Interaction, human-robot collaboration, Human Factors in Manufacturing, Generative AI in Manufacturing, Digital Twin in Manufacturing, AI in Manufacturing Processes, Surrogate Models in Manufacturing, AI in Human-Robot Interaction, Large Language Models in Manufacturing, Machine Learning for Quality Inspection, Big Data Management in Manufacturing