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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut

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书目名称Intelligent Systems and Applications
副标题Proceedings of the 2
编辑Kohei Arai
视频video
概述Presents recent research in intelligent systems and applications.Gathers the proceedings of the Intelligent Systems Conference 2024 (IntelliSys 2024).Focuses on various areas of intelligent systems an
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut
描述.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..
出版日期Conference proceedings 2024
关键词Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
版次1
doihttps://doi.org/10.1007/978-3-031-66336-9
isbn_softcover978-3-031-66335-2
isbn_ebook978-3-031-66336-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Catch them Unattentive: An Orientation Aware Face Recognition Model,o better accuracy and is also more intuitive. None of the existing methods in the literature address this problem, and when we compare with them we found the proposed model to outperform them on several datasets.
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Decision Making in Artificial Social Conditions, the model for predicting individual behavior. Results based on a neural network employed as a classifier for recognizing implicitly expressed strategies in various social conditions were also discussed.
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,Critical Junctures of Five Digital Parliamentary Campaigns in Bulgaria (2021–2023),vey includes those political forces that have passed the 4% electoral threshold. The results have been presented to audiences interested in political communication, such as: legal and regulatory specialists, academia, media industry, telecommunications, media literacy experts, as well as to general
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Adaptive Traffic Control Modeling Framework Sumo-atclib,the transport engineer to test ready-made algorithms for a new scenario, without the need to adapt them to new conditions, which speeds up the development process of the control system, and reduces design overhead. At the moment, the package contains examples of . algorithms and the Q-learning reinf
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Framework to Specify Dialogues for Natural Interaction with Conversational Assistants Applied in Prudy introduces a framework, DINA, to assist dialogue specifiers, even those without technical or linguistic expertise in AI, CAs, or Human-Computer Interaction, in describing assistant guidelines, dialogue benefits, and other essential attributes for effective NI.
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