Advances in System-Integrated Intelligence (eBook)

Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy

Maurizio Valle, Dirk Lehmhus, Christian Gianoglio, Edoardo Ragusa, Lucia Seminara, Stefan Bosse, Ali IBRAHIM, Klaus-Dieter Thoben (Herausgeber)

eBook Download: PDF

2022 | 1st ed. 2023
XX, 740 Seiten
Springer International Publishing (Verlag)
978-3-031-16281-7 (ISBN)

Infos

This book reports on cutting-edge research and developments focusing on  integrating intelligent functionalities into materials, components, systems and products. Gathering the proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), held on September 7-9, in Genova, Italy, it offers a comprehensive, multidisciplinary and applied perspective on the state-of-the art and challenges in the field of intelligent, flexible and connected systems. The book covers advanced methods and applications relating to artificial, pervasive and ubiquitous intelligence, sensors, smart factory and logistics, structural health monitoring, as well as soft robotics, cognitive systems and human-machine interaction. Giving a special focus to artificial intelligence, it  extensively reports on methods and algorithms for data-driven modeling, and agent-based data processing and planning. It aims at inspiring and fostering collaboration between researchers and professionals from the different fields of  electrical, manufacturing and production engineering, and materials and computer sciences. 

Produkt-Details

• Erscheint lt. Verlag: 3.9.2022
• Reihe/Serie: Lecture Notes in Networks and Systems
• Zusatzinfo: XX, 740 p. 316 illus., 264 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: 5G in Production • Autonomous Systems Applications • Circular Production Systems • Data-Driven Modeling and Manufacturing • Embedded Machine Learning • Human-Machine Collaboration • Integrated Sensors • Intelligent Data Management • Machine Learning Methods in Production • Manufacturing System Development • Monitoring using Convolutional Neural Networks • Random Weights Neural Networks • Real Time and Automated Detection • Reconfigurable machine tools • reconfigurable manufacturing systems • SysInt2022 • Tactile Sensing Systems
• ISBN-10: 3-031-16281-1 / 3031162811
• ISBN-13: 978-3-031-16281-7 / 9783031162817