Custom cover image
Custom cover image

Intelligent Systems and Applications : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 2 / edited by Kohei Arai

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1066Publisher: Cham : Springer Nature Switzerland, 2024Publisher: Cham : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XI, 741 p. 247 illus., 205 illus. in color.)ISBN:
  • 9783031664281
Subject(s): Additional physical formats: 9783031664274 | 9783031664298 | Erscheint auch als: 9783031664274 Druck-Ausgabe | Erscheint auch als: 9783031664298 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-66428-1Online resources: Summary: Patterns in Human Activity Recognition Through Machine Learning Analysis Towards 6G Applications -- Gamified Chatbot Management Process: A Way to Build Gamified Chatbots -- Mutual Learning for News Classification.Summary: This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more. We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study. Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems.PPN: PPN: 1897904266Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT