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Titolo: | Advances in Intelligent Manufacturing and Service System Informatics : Proceedings of IMSS 2023 / / edited by Zekâi Şen, Özer Uygun, Caner Erden |
Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Edizione: | 1st ed. 2024. |
Descrizione fisica: | 1 online resource (0 pages) |
Disciplina: | 670.28563 |
Soggetto topico: | Industrial engineering |
Production engineering | |
Engineering design | |
Artificial intelligence | |
Industrial and Production Engineering | |
Engineering Design | |
Artificial Intelligence | |
Persona (resp. second.): | ŞenZekâi |
UygunÖzer | |
ErdenCaner | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Project Idea Selection in an Automotive R&D Center -- Modeling Electro-Erosion Wear of Cryogenic Treated Electrodes of Mold Steels Using Machine Learning Algorithms -- Determination of the Most Suitable New Generation Vacuum Cleaner Type with PFAHP-PFTOPSIS Techniques Based on E-WOM -- Quality Control in Chocolate Coating Processes by Image Processing: Determination of Almond Mass and Homogeneity of Almond Spread -- Internet of Medical Things (IoMT): An Overview and Applications -- Forecasting Electricity Prices for the Feasibility of Renewable Energy Plants. |
Sommario/riassunto: | This book comprises the proceedings of the 12th International Symposium on Intelligent Manufacturing and Service Systems 2023. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including machine learning, autonomous control, bioinformatics, human-artificial intelligence interaction, digital twin, robotic systems, sybersecurity, etc. This volume will prove a valuable resource for those in academia and industry. |
Titolo autorizzato: | Advances in Intelligent Manufacturing and Service System Informatics |
ISBN: | 981-9960-62-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910760290703321 |
Lo trovi qui: | Univ. Federico II |
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