Advances in artificial intelligence in manufacturing II : proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece / Kosmas Alexopoulos, Sotiris Makris, Panagiotis Stavropoulos, editors.

By: (2nd : European Symposium on Artificial Intelligence in Manufacturing (2nd : 2024 : Athens, Greece)
Contributor(s): Alexopoulos, Kosmas [editor.] | Makris, Sotiris [editor.] | Stavropoulos, Panagiotis [editor.]
Language: English Series: Lecture notes in mechanical engineering: Publisher: Cham : Springer, 2025Description: 1 online resource (xvi, 288 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9783031864889; 9783031864896; 3031864891Subject(s): Artificial intelligence -- Industrial applications -- Congresses | Manufacturing processes -- Technological innovations -- Congresses | Automation | Industrial engineeringGenre/Form: Electronic books.DDC classification: Online resources: Full text is available at the Directory of Open Access Books. Click here to view. | Springer Nature
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.
Summary: 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.
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Includes author index.

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.

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.

Online resource; title from PDF title page (SpringerLink, viewed March 26, 2025).

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