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.
Содержание
Underwater Image Super-Resolution based on the combination of Generative Adversarial Networks and Transformer.- Short-Time Fourier Transform for detecting the queen bee state.- Sensing and Estimating Human Pose for a Virtual Try-On Application.- Elitist Strategy Genetic Algorithm-Based Planning Optimization Deriving for Smart Port Decision Support System.
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