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Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025, Proceedings, Part I / edited by Ngoc Thanh Nguyen, Vu Dinh Duc Anh, Adrianna Kozierkiewicz, Sinh Nguyen Van, Manuel Núñez, Jan Treur, Gottfried Vossen.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Nguyen, Ngoc Thanh.
- Series:
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 16138
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Communication Networks.
- Data Structures and Information Theory.
- Theory of Computation.
- Physical Description:
- 1 online resource (744 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This two-set volume LNAI 16138-16139 constitutes the refereed proceedings of the 17th International Conference on Computational Collective Intelligence, ICCCI 2025, held in Ho Chi Minh City, Vietnam, during November 12–15, 2025. The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 290 submissions. The papers are organized in the following topical sections: Part I: Collective Intelligence and Collective Decision-Making; Co-operative Strategies for Decision-Making & Optimisation; Natural Language Processing; Knowledge Engineering & Industry 4.0 Applications; Data Mining & Machine Learning. Part II: Social Networks and Intelligent Systems; Cyber-Security, Blockchain & IoT; Computational Intelligence in Medical Applications; Computational Intelligence for Digital Content Understanding.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-09318-X
- 9783032093189
- OCLC:
- 1551395890
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