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Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 2729, 2023, Proceedings [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3031414551
  • ISBN-10:  3031414551
  • ISBN-13:  9783031414558
  • ISBN-13:  9783031414558
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  3031414551-11-SPRI
  • SKU:  3031414551-11-SPRI
  • Pages:  849
  • Pages:  849
  • Item ID: 106793652
  • List Price: $119.99
  • Seller: ShopSpell
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  • Delivery by: Oct 14 to Oct 16
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence,  ICCCI 2023, held in Budapest, Hungary, during September 2729, 2023.

The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques;  natural language processing; data mining and machine learning; social networks and intelligent systems; 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; computational intelligence in medical applications; and ensemble models and data fusion.
Collective Intelligence and Collective Decision-Making.- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions.- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management.- An Architecture for Enabling Collective Intelligence in IoT Networks.- Self-Organizing Maps for Data Purchase Support in Data Marketplaces.- Agent based model of elementary school group learning  a case study.- Deep Learning Techniques.- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks.- DNGAE: Deep Neighborhood Graph Autoencoder for robust blind
hyperspectral unmixing.- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition.- Graph Convolution Collaborative Filtering with Dense Embeddingl£è