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Intelligent Systems and Applications: Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 2 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 741 pages, kõrgus x laius: 235x155 mm, 205 Illustrations, color; 42 Illustrations, black and white; XI, 741 p. 247 illus., 205 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1066
  • Ilmumisaeg: 31-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031664272
  • ISBN-13: 9783031664274
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  • Pehme köide
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  • Formaat: Paperback / softback, 741 pages, kõrgus x laius: 235x155 mm, 205 Illustrations, color; 42 Illustrations, black and white; XI, 741 p. 247 illus., 205 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1066
  • Ilmumisaeg: 31-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031664272
  • ISBN-13: 9783031664274
Teised raamatud teemal:
This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more.





We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study.





Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems.

Patterns in Human Activity Recognition Through Machine Learning Analysis Towards 6G Applications.- Gamified Chatbot Management Process: A Way to Build Gamified Chatbots.- Mutual Learning for News Classification.