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 Io T developments, which help to align and shorten R&D processes to introduce new classes of intelligent Io T products.
Table of Content
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 Io T Network with Wireless Power Transfer.
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