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Intelligent Systems and Applications : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 1 / edited by Kohei Arai

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1065Publisher: Cham : Springer Nature Switzerland, 2024Publisher: Cham : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XI, 717 p. 261 illus., 231 illus. in color.)ISBN:
  • 9783031663291
Subject(s): Additional physical formats: 9783031663284 | 9783031663307 | Erscheint auch als: 9783031663284 Druck-Ausgabe | Erscheint auch als: 9783031663307 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-66329-1Online resources: Summary: FireNet: A Hybrid Deep Learning Approach for Enhanced Fire Detection in Remote Sensing Imagery -- Towards Enhanced Virtual Chronic Care: Artificial Intelligence-Human Computer Interaction Integration in Synchronous Virtual Consultations -- Image Classification Method Considering Overlapping and Correlation Between Probability Density Functions of Features.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: 189790424XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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