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Intelligent Systems and Applications : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 3 / edited by Kohei Arai

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1067Publisher: Cham : Springer Nature Switzerland, 2024Publisher: Cham : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XI, 658 p. 280 illus., 218 illus. in color.)ISBN:
  • 9783031664311
Subject(s): Additional physical formats: 9783031664304 | 9783031664328 | Erscheint auch als: 9783031664304 Druck-Ausgabe | Erscheint auch als: 9783031664328 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-66431-1Online resources: Summary: Diagnosis of Alzheimer’s Disease with Deep Neural Networks -- MAMTCPN: Moise+ Automated Mapping to Colored Petri Net -- The Problem of Many Vehicles: An Explainable System for Autonomous Multi-Agent Accidents -- Enhancing Spinal Health: Personalized Exoskeleton for Preventing and Rehabilitating Heavy Lifting-Related Conditions.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: 1897904282Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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