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Intelligence of Things: Technologies and Applications: The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 1 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 386 pages, kõrgus x laius: 235x155 mm, 137 Illustrations, color; 24 Illustrations, black and white; XIV, 386 p. 161 illus., 137 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes on Data Engineering and Communications Technologies 229
  • Ilmumisaeg: 17-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031755928
  • ISBN-13: 9783031755927
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Intelligence of Things: Technologies and Applications: The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 1 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 386 pages, kõrgus x laius: 235x155 mm, 137 Illustrations, color; 24 Illustrations, black and white; XIV, 386 p. 161 illus., 137 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes on Data Engineering and Communications Technologies 229
  • Ilmumisaeg: 17-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031755928
  • ISBN-13: 9783031755927
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031755927.html

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.

Quantum Reinforcement Learning: Concepts, Models, and Applications.- Collaborative Filtering-based Personalized Recommendations: Challenges, Limitations, and Applications.- Performance Analysis of an UAV-Assisted NOMA-Based on MEC in IoT Network with Wireless Power Transfer.