Buch, Englisch, 586 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes on Data Engineering and Communications Technologies
The Fifth International Conference on Intelligence of Things (ICIT 2026), Seoul, South Korea, October 15-16, 2026, Proceedings
Buch, Englisch, 586 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes on Data Engineering and Communications Technologies
ISBN: 978-3-032-43080-9
Verlag: Springer
This book aims to provide state-of-the-art knowledge in the field of Artificial Intelligence of Things (AIoT) 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. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Towards Reliable AI for Smart Agriculture A Comparative Robustness Study of CNNs and Vision Transformers.- Application of Ensemble Machine Learning Algorithms Building Rainfall Forecasting Model.- Electro Thermal State Space Dynamic Modeling and Comparative Temperature Control for IoT Duck Egg Incubation.- Multi Agent Generative AI Architectures for Zero Day Attack Detection and Autonomous Cyber Defense A Comparative Review.- Graph-Based Analysis of Socially Prominent Individuals Using Image Derived Relationships.- Quantum Enhanced Transfer Learning for Multispectral Sentinel 2 Land Use and Land Cover Classification A Feasibility and Generalization Study.- An Approach to Coverage Reallocation for Cooperative UAV Based Construction Site Inspection.
