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Computational Collective Intelligence 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I /

This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewe...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Nguyen, Ngoc Thanh (Editör), Franczyk, Bogdan (Editör), Ludwig, André (Editör), Núñez, Manuel (Editör), Treur, Jan (Editör), Vossen, Gottfried (Editör), Kozierkiewicz, Adrianna (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edisyon:1st ed. 2024.
Seri Bilgileri:Lecture Notes in Artificial Intelligence, 14810
Konular:
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 Erişim:https://doi.org/10.1007/978-3-031-70816-9
Etiketler: Etiketle
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Diğer Bilgiler
Özet:This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics: Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning. Part II: Social networks and intelligent system; 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. .
Fiziksel Özellikler:XXVII, 397 p. 132 illus., 105 illus. in color. online resource.
ISBN:9783031708169
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-70816-9

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