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Advances in Computational Intelligence Systems: Contributions Presented at the 23rd UK Workshop on Computational Intelligence (UKCI 2024), September 2-4, 2024, Ulster University, Belfast, UK [Mīkstie vāki]

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  • Formāts: Paperback / softback, 382 pages, height x width: 235x155 mm, 127 Illustrations, color; 27 Illustrations, black and white; XIII, 382 p. 154 illus., 127 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Intelligent Systems and Computing 1462
  • Izdošanas datums: 08-Jan-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031788567
  • ISBN-13: 9783031788567
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  • Mīkstie vāki
  • Cena: 180,78 €*
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Advances in Computational Intelligence Systems: Contributions Presented at the 23rd UK Workshop on Computational Intelligence (UKCI 2024), September 2-4, 2024, Ulster University, Belfast, UKPalielināt
  • Formāts: Paperback / softback, 382 pages, height x width: 235x155 mm, 127 Illustrations, color; 27 Illustrations, black and white; XIII, 382 p. 154 illus., 127 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Intelligent Systems and Computing 1462
  • Izdošanas datums: 08-Jan-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031788567
  • ISBN-13: 9783031788567
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031788567.html
Keywords:

This book comprises the papers presented at the 23rd UK Workshop on Computational Intelligence (UKCI 2024) held at Ulster University, Belfast, UK from 2 to 4 September 2024. UKCI is the premier UK event for presenting leading research on all aspects of Computational Intelligence. The book is divided into five sections: machine learning, intelligent robotics/navigation, biomedical applications, image processing and applications of computational intelligence. It highlights recent research developments in the field and so will be of interest to those in the academic community and industry seeking a greater understanding of advances in both techniques and applications.

Cross-scale Heterogeneous Convolution Change Detection Based on Spatial-Spectral Information Fusion for Remote Sensing Imagery.- Developing Variational Generative Models using Predictive Coding.- Retrieval Augmented Large Language Model Chatbots in Higher Education: A Study on University Open Days.- Contrastive Learning for Limited Medical Data - A Bipartite Strategy for Detection Tasks.