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Intelligent Information and Database Systems 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part II /

This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025. The 56 full papers and presented in these two volumes were carefully rev...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Nguyen, Ngoc Thanh (Editor), Matsuo, Tokuro (Editor), Gaol, Ford Lumban (Editor), Manolopoulos, Yannis (Editor), Fujita, Hamido (Editor), Hong, Tzung-Pei (Editor), Wojtkiewicz, Krystian (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:Lecture Notes in Artificial Intelligence, 15684
Fag:
Artificial intelligence.
Computer networks .
Database management.
Data mining.
Information storage and retrieval systems.
Application software.
Artificial Intelligence.
Computer Communication Networks.
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Online adgang:https://doi.org/10.1007/978-981-96-6005-6
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Beskrivelse
Summary:This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025. The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions. The papers are organized in the following topical sections: Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms. Part II: Games and Decision Theories; Image Processing and Computer Vision; Intelligent Techniques in Optimization; Machine Learning Techniques and Applications.
Fysisk beskrivelse:XXXIII, 423 p. 141 illus., 125 illus. in color. online resource.
ISBN:9789819660056
ISSN:2945-9141 ;
DOI:10.1007/978-981-96-6005-6

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