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Advances in Computational Collective Intelligence: 16th International Conference, ICCCI 2024, Leipzig, Germany, September 911, 2024, Proceedings, Part II 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 491 pages, kõrgus x laius: 235x155 mm, 135 Illustrations, color; 43 Illustrations, black and white; XXVIII, 491 p. 178 illus., 135 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2166
  • Ilmumisaeg: 09-Sep-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031702581
  • ISBN-13: 9783031702587
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  • Formaat: Paperback / softback, 491 pages, kõrgus x laius: 235x155 mm, 135 Illustrations, color; 43 Illustrations, black and white; XXVIII, 491 p. 178 illus., 135 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2166
  • Ilmumisaeg: 09-Sep-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031702581
  • ISBN-13: 9783031702587
This two-volume set CCIS 2165-2166 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 911, 2024.





The 67 full papers included in this book were carefully reviewed and selected from 234 submissions.





The main track, covering the methodology and applications of CCI, included: collective decision-making, data fusion, deep learning techniques, natural language processing, data mining and machine learning, social networks and intelligent systems, optimization, computer vision, knowledge engineering and application, as well as Internet of Things: technologies and applications. The special sessions, covering some specific topics of particular interest, included: cooperative strategies for decision making and optimization, security and reliability of information, networks and social media, anomalies detection, machine learning, deep learning, digital image processing, artificial intelligence, speech communication, IOT applications, natural language processing, innovative applications in data science.