Advances in Artificial Intelligence in Manufacturing II [electronic resource] : Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece / edited by Kosmas Alexopoulos, Sotiris Makris, Panagiotis Stavropoulos.

Інтелектуальна відповідальність: Вид матеріалу: Текст Серія: Lecture Notes in Mechanical EngineeringПублікація: Cham : Springer Nature Switzerland : Imprint: Springer, 2025Видання: 1st ed. 2025Опис: XVI, 288 p. 105 illus., 89 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783031864896
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 629.8 23
Класифікація Бібліотеки Конгресу:
  • TJ212-225
  • TJ210.2-211.495
Електронне місцезнаходження та доступ:
Вміст:
-- 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.
У: Springer Nature eBookЗведення: 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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-- 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.

Open Access

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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