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Titlebook: Computational Collective Intelligence; 15th International C Ngoc Thanh Nguyen,János Botzheim,Adrianna Kozierki Conference proceedings 2023

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书目名称Computational Collective Intelligence
副标题15th International C
编辑Ngoc Thanh Nguyen,János Botzheim,Adrianna Kozierki
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Collective Intelligence; 15th International C Ngoc Thanh Nguyen,János Botzheim,Adrianna Kozierki Conference proceedings 2023
描述This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence,  ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023..The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques;  natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding;  knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion..
出版日期Conference proceedings 2023
关键词Artificial Intelligence; collective processing; knowledge integration; data integration; group decision
版次1
doihttps://doi.org/10.1007/978-3-031-41456-5
isbn_softcover978-3-031-41455-8
isbn_ebook978-3-031-41456-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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An Architecture for Enabling Collective Intelligence in IoT Networksto malicious attacks similar to other networks. Additionally, physical tampering, injection and capturing of the nodes are more probable in IoT networks. Therefore, conventional security practices require substantial re-engineering for IoT networks. Here we present an architecture that enables colle
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Agent Based Model of Elementary School Group Learning – A Case Studymost frequently found in pedagogical literature about active and group learning. The model main objective is to forecast the change in the student’s knowledge. We simulated and compared knowledge changes during individual learning and cooperative learning with different group composition. The observ
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Automatic Quantization of Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm However, their large number of parameters makes them impractical for deployment on limited-resource devices. To address this issue, we propose a neural network quantization (NNQ) method that reduces the complexity of CNNs for X-ray image classification, while maintaining their original accuracy. Ou
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