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Intelligence of Things: Technologies and Applications [electronic resource] : The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 2 / edited by Nhu-Ngoc Dao, Quang-Dung Pham, Sungrae Cho, Ngoc Thanh Nguyen.

Contributor(s): Material type: TextSeries: Lecture Notes on Data Engineering and Communications Technologies ; 230Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIV, 374 p. 162 illus., 128 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031755965
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q342
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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.

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