01654nam0 22003491i 450 UON0048802920231205105319.545978-49-06-26773-620180424d2016 |0itac50 bagerJP|||| 1||||Saṃbhogadie Zugehörigkeit zur Ordensgemeinschaft im frühen Janismus und BuddhismusHaiyan Hu-von HinüberTokyoThe International Institute for Buddhist Studies of the International College for Postgraduate Buddhist Studies2016158 p.26 cmSI VII C 065 NUON00024230001UON000242302001 Studia Philologica Buddhica. Monograph Series33 SI VII C 065 NJAINISMOUONC004930FIJAINISMOLOCALITA' SACREUONC009633FIVITA MONASTICA E RELIGIOSABuddhismoUONC093574FIVITA MONASTICA E RELIGIOSAJAINISMOUONC093575FIJPTōkyōUONL000031SI VII CSUBCONT. INDIANO - RELIGIONE E FILOSOFIA - JAINISMOAHU-VON HINÜBERHaiyanUONV239052764448International Institute for Buddhist Studies of the International College of Postgraduate Buddhist StudiesUONV249797650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00488029SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI SI VII C 065 N SI 25582 7 065 N GIAINISMOJAINISMOUONC004931Saṃbhoga1552130UNIOR04135nam 22006855 450 991086916820332120240626125347.09783031574962303157496610.1007/978-3-031-57496-2(MiAaPQ)EBC31505439(Au-PeEL)EBL31505439(CKB)32580019400041(DE-He213)978-3-031-57496-2(Exl-AI)31505439(OCoLC)1443932519(EXLCZ)993258001940004120240626d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Artificial Intelligence in Manufacturing Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing, September 19, 2023, Kaiserslautern, Germany /edited by Achim Wagner, Kosmas Alexopoulos, Sotiris Makris1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (207 pages)Lecture Notes in Mechanical Engineering,2195-43649783031574955 3031574958 Preface -- Organization -- Contents -- Artificial Intelligence at Manufacturing System Level -- An Integrated Active Learning Framework for the Deployment of Machine Learning Models for Defect Detection in Manufacturing Environments -- 1 Introduction -- 2 The Problem -- 2.1 Active Learning -- 2.2 Deployment -- 2.3 Monitoring -- 2.4 Explainability -- 3 Use Cases -- 3.1 Binary Classification -- 3.2 Multiclass Classification -- 3.3 Object Detection -- 4 Results -- 4.1 Binary Classification -- 4.2 Multiclass Classification -- 4.3 Object Detection -- 4.4 MLOps -- 5 Conclusions -- 6 Aknowlegments -- References -- Complex and Big Data Handling and Monitoring Through Machine Learning Towards Digital-Twin in High Precision Manufacturing -- 1 Introduction -- 2 Brief Overview of the State-of-the-Art -- 3 Real Case Studies -- 4 Proposed Methods -- 4.1 Low-Dimensional Learning for Machine Health Condition Monitoring -- 4.2 Recurrent NNs for Multi-stream Process Pattern PredictionGenerated by AI.This book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the first European Symposium on Artificial Intelligence in Manufacturing, held on September 19, 2023, in Kaiserslautern, Germany, it reports on machine learning models and algorithms for systems monitoring and industrial data management, on advances in human-robot collaboration, and on artificial intelligence applications in industrial control and process monitoring. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers.Lecture Notes in Mechanical Engineering,2195-4364AutomationIndustrial engineeringProduction engineeringHuman-machine systemsAutomationIndustrial and Production EngineeringHuman-Machine InterfacesProcess EngineeringAutomation.Industrial engineering.Production engineering.Human-machine systems.Automation.Industrial and Production Engineering.Human-Machine Interfaces.Process Engineering.629.8Wagner Achim1743503Alexopoulos Kosmas1743504Makris Sotiris1229427MiAaPQMiAaPQMiAaPQBOOK9910869168203321Advances in Artificial Intelligence in Manufacturing4171682UNINA