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Computational Collective Intelligence 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings /

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...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Nguyen, Ngoc Thanh (Editor), Botzheim, János (Editor), Gulyás, László (Editor), Núñez, Manuel (Editor), Treur, Jan (Editor), Vossen, Gottfried (Editor), Kozierkiewicz, Adrianna (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Serier:Lecture Notes in Artificial Intelligence, 14162
Fag:
Artificial intelligence.
Computer engineering.
Computer networks .
Data structures (Computer science).
Information theory.
Computer science.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Communication Networks.
Data Structures and Information Theory.
Theory of Computation.
Online adgang:https://doi.org/10.1007/978-3-031-41456-5
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Beskrivelse
Summary: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.
Fysisk beskrivelse:1 online resource (XXVII, 849 p. 315 illus.). 244 illus. in color.
ISBN:9783031414565
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-41456-5

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