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dc.contributor.editorAlexopoulos, Kosmas
dc.contributor.editorMakris, Sotiris
dc.contributor.editorStavropoulos, Panagiotis
dc.date.accessioned2025-11-29T23:08:08Z
dc.date.available2025-11-29T23:08:08Z
dc.date.issued2025
dc.date.submitted2025-04-14T12:58:42Z
dc.identifierONIX_20250414_9783031864896_45
dc.identifierhttps://library.oapen.org/handle/20.500.12657/100799
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/207151
dc.description.abstractThis 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.languageEnglish
dc.relation.ispartofseriesLecture Notes in Mechanical Engineering
dc.rightsopen access
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction
dc.subject.otherDigital Twin in Manufacturing
dc.subject.otherAI in Human-Robot Interaction
dc.subject.otherAI in Manufacturing Processes
dc.subject.otherBig Data Management in Manufacturing
dc.subject.otherMachine Learning for Quality Inspection
dc.subject.otherHuman-Robot Collaboration
dc.subject.otherSurrogate Models in Manufacturing
dc.subject.otherGenerative AI in Manufacturing
dc.subject.otherHuman Factors in Manufacturing
dc.subject.otherLarge Language Models in Manufacturing
dc.titleAdvances in Artificial Intelligence in Manufacturing II
dc.title.alternativeProceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece
dc.typebook
oapen.identifier.doi10.1007/978-3-031-86489-6
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.relation.isFundedByed262202-3b35-40e0-a3bc-9d206ec72a33
oapen.relation.isbn9783031864889
oapen.imprintSpringer Nature Switzerland
oapen.pages288
oapen.place.publicationCham
oapen.grant.number[...]
dc.relationisFundedByed262202-3b35-40e0-a3bc-9d206ec72a33


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