Ubiquitous Networking
Springer International Publishing (Verlag)
978-3-031-62487-2 (ISBN)
This book constitutes the refereed proceedings of the 9th International Symposium on Ubiquitous Networking, UNet 2023, held in Clermont-Ferrand, France, during November 01-03, 2023.
The 14 full papers included in this book were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: artificial intelligence-driven communications; data engineering, cyber security and pervasive services; tactile internet and internet of things; ubiquitous communication technologies and networking.
1 Artificial Intelligence-Driven Communications.- A Comparative Analysis of Sentence Embedding Techniques and LSTM Models in Web Page Classification.- Federated Clouds: A New Metric for Measuring the Quality of Data Anonymization.- Smart City Development Through Collective Intelligence Based on Blockchain-IPFS-Data Analytics.- 2 Data Engineering, Cyber Security and Pervasive Services.- Wearable IoT Sensor Combining Deep Learning for Enhanced Human Activity Recognition in Indoor and Outdoor Settings.- On the Use of Autoencoders in Unsupervised Learning for Intrusion Detection Systems.- A New Strategy for Reducing Latency With Deep Learning in a Fog Computing Environment.- Data Balancing Process to Strengthen a Prediction System for Malaria Control in Senegal.- 3 Tactile Internet and Internet of Things.- Performance Evaluation of LoRa in a Linear Deployment Scenario.- Convergence of Blockchain Enabled IoT Framework: A Survey.- Design of a Circular Patch Antenna Array at 5.8GHz for Enhancing UAV Autonomy in IoT Applications.- 4 Ubiquitous Communication Technologies and Networking.- Toward Best Performances of Node's Radio Module Setting for Use in IoT-Based Maritime Petroleum Waste Recovery Prototype System.- Modelling of Noise Due to a Plasma-Based Contactless Power Transmission System for Ultra-High-Speed Transportation.- A Literature Review on Smart Greenhouse and AI: Paradigms, Opportunities and Open Issues.- Q-Learning-Driven Enhanced NOMA Grant-Free Access for Minimized Delay in URLLC-Enabled Wireless Networks.
| Erscheinungsdatum | 07.06.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XXVI, 186 p. 80 illus., 66 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Schlagworte | Artificial Intelligence • Communication hardware, interfaces and storage • Computing Methodologies • Data communication systems • Emerging Technologies • human-centered computing • internet protocols • machine learning • mobile telecommunication systems • network algorithms • Network Architectures • Network Protocols • Networks • network services • Signal Processing • Telecommunication networks • Telecommunication Systems • telecommunication traffic • very large scale integration design • wireless telecommunication systems |
| ISBN-10 | 3-031-62487-4 / 3031624874 |
| ISBN-13 | 978-3-031-62487-2 / 9783031624872 |
| Zustand | Neuware |
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