Buch, Englisch, Band 15427, 134 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 236 g
9th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings
Buch, Englisch, Band 15427, 134 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 236 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-77002-9
Verlag: Springer Nature Switzerland
This book constitutes the refereed proceedings of the 9th International Conference on Internet of Things – ICIOT 2024, held as part of the Services Conference Federation, SCF 2024, in Bangkok, Thailand, during November 16-19, 2024.
The 9 full papers presented in this volume were carefully reviewed and selected from 16 submissions. These papers focus on current research in various aspects of IOT technologies and applications, including sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
Weitere Infos & Material
.- Design an AutoCar Kit for Project-Based Learning in Autonomous Vehicle Programming for University Students.
.- Research and Application of Distributed Energy Storage Monitoring System Based on Plug-And-Play Protocols.
.- Long-Term Traffic Congestion Detection Method Based on Speed-Threshold.
.- Application of Digital Exhibition and Preservation of Intangible Cultural Heritage via Holographic Real-Time Cloud Broadcasting.
.- Node Pressure Prediction by Aggregating Long-Range Information.
.- Novel Technology for IoT Charging Battery.
.- Optimizing Target Coverage in Wireless Sensor Networks: A Hybrid Differential Evolution and Simulated Annealing-Based Approach.
.- Research on Automatic Detection and Early Warning of Epilepsy in Electroencephalogram Signals.
.- Cross-Scale Bilevel Aggregation for Multi-Exposure Fusion via Conditional Generative Adversarial Network.
