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Titlebook: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAA; International Worksh Dalila Durães,Al

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发表于 2025-3-21 19:08:24 | 显示全部楼层 |阅读模式
书目名称Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAA
副标题International Worksh
编辑Dalila Durães,Alfonso González-Briones,João Carnei
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAA; International Worksh Dalila Durães,Al
描述This book constitutes the refereed proceedings of the International Workshops on Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, PAAMS 2023, held in Guimaraes, Portugal, during July 12–14, 2023..The 14 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: provides a unique opportunity to bring multi-disciplinary experts, academics, and practitioners together to exchange their experience in the development of agents and multi-agent systems..
出版日期Conference proceedings 2023
关键词artificial intelligence; communication systems; computer networks; computer vision; data communication s
版次1
doihttps://doi.org/10.1007/978-3-031-37593-4
isbn_softcover978-3-031-37592-7
isbn_ebook978-3-031-37593-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Improving Public Transportation Efficiency Through Accurate Bus Passenger Demandprediction of bus occupancy levels plays a critical role in optimizing bus routes, improving service reliability, and reducing passenger wait times. However, there is a lack of research in this area, and most existing studies focus on either real-time sensor data or historical bus occupancy data. Th
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Pre-processing Techniques and Model Aggregation for Plant Disease Preventioncurately identifying and classifying different diseases based on plant images. Pre-processing techniques such as smoothing and sharpening can play a crucial role in improving the accuracy of disease classification. These techniques can enhance the quality of the images and reduce noise, making it ea
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A SPADE Multi-agent Application for Outdoor , Monitoringan be deployed in numerous domains. Multi-Agent Systems (MAS) have been identified as a promising paradigm for the development of smart applications, including IoT devices. In this context, this paper introduces an air quality monitoring and prediction application which uses a multi-agent platform c
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