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

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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Gorde:
Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Nguyen, Ngoc Thanh (Argitaratzailea), Franczyk, Bogdan (Argitaratzailea), Ludwig, André (Argitaratzailea), Núñez, Manuel (Argitaratzailea), Treur, Jan (Argitaratzailea), Vossen, Gottfried (Argitaratzailea), Kozierkiewicz, Adrianna (Argitaratzailea)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edizioa:1st ed. 2024.
Saila:Lecture Notes in Artificial Intelligence, 14811
Gaiak:
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.
Sarrera elektronikoa:https://doi.org/10.1007/978-3-031-70819-0
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Deskribapena
Gaia: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. 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 .
Deskribapen fisikoa:XXVIII, 395 p. 172 illus., 111 illus. in color. online resource.
ISBN:9783031708190
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-70819-0

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