03444nam a22005535i 4500 978-3-031-66329-1 DE-He213 20251030112659.0 cr nn 008mamaa 240730s2024 sz | s |||| 0|eng d 9783031663291 978-3-031-66329-1 10.1007/978-3-031-66329-1 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Intelligent Systems and Applications [electronic resource] : Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 1 / edited by Kohei Arai. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 717 p. 261 illus., 231 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 1065 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. 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. Computational intelligence. 64052 Control engineering. Robotics. 59148 Automation. 59149 Artificial intelligence. 58441 Computational Intelligence. 64052 Control, Robotics, Automation. Artificial Intelligence. 58441 Arai, Kohei. editor. edt http://id.loc.gov/vocabulary/relators/edt 69377 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031663284 Printed edition: 9783031663307 Lecture Notes in Networks and Systems, 2367-3389 ; 1065 https://doi.org/10.1007/978-3-031-66329-1 ZDB-2-INR ZDB-2-SXIT 62056 62056