Advances in Artificial Intelligence in Manufacturing II
Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece
| dc.contributor.editor | Alexopoulos, Kosmas | |
| dc.contributor.editor | Makris, Sotiris | |
| dc.contributor.editor | Stavropoulos, Panagiotis | |
| dc.date.accessioned | 2025-04-14T12:58:42Z | |
| dc.date.available | 2025-04-14T12:58:42Z | |
| dc.date.issued | 2025 | |
| dc.identifier | ONIX_20250414_9783031864896_45 | |
| dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/100799 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.relation.ispartofseries | Lecture Notes in Mechanical Engineering | |
| dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering | |
| dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering | |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction | |
| dc.subject.other | Digital Twin in Manufacturing | |
| dc.subject.other | AI in Human-Robot Interaction | |
| dc.subject.other | AI in Manufacturing Processes | |
| dc.subject.other | Big Data Management in Manufacturing | |
| dc.subject.other | Machine Learning for Quality Inspection | |
| dc.subject.other | Human-Robot Collaboration | |
| dc.subject.other | Surrogate Models in Manufacturing | |
| dc.subject.other | Generative AI in Manufacturing | |
| dc.subject.other | Human Factors in Manufacturing | |
| dc.subject.other | Large Language Models in Manufacturing | |
| dc.title | Advances in Artificial Intelligence in Manufacturing II | |
| dc.title.alternative | Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece | |
| dc.type | book | |
| oapen.identifier.doi | 10.1007/978-3-031-86489-6 | |
| oapen.relation.isPublishedBy | 6c6992af-b843-4f46-859c-f6e9998e40d5 | |
| oapen.relation.isFundedBy | ed262202-3b35-40e0-a3bc-9d206ec72a33 | |
| oapen.relation.isbn | 9783031864889 | |
| oapen.imprint | Springer Nature Switzerland | |
| oapen.pages | 288 | |
| oapen.place.publication | Cham | |
| oapen.grant.number | [...] |
