Imatge de la portada

Advances in Artificial Intelligence in Manufacturing II

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 learnin...

Descripció completa

Guardat en:
Format: Online
Idioma:anglès
Publicat: Springer Nature 2025
Matèries:
Digital Twin in Manufacturing
AI in Human-Robot Interaction
AI in Manufacturing Processes
Big Data Management in Manufacturing
Machine Learning for Quality Inspection
Human-Robot Collaboration
Surrogate Models in Manufacturing
Generative AI in Manufacturing
Human Factors in Manufacturing
Large Language Models in Manufacturing
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction
Accés en línia:ONIX_20250414_9783031864896_45
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
Sumari: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.

Ítems similars