UID:
almahu_9949772841102882
Format:
XXVI, 186 p. 80 illus., 66 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031624889
Series Statement:
Lecture Notes in Computer Science, 14757
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031624872
Additional Edition:
Printed edition: ISBN 9783031624896
Language:
English
DOI:
10.1007/978-3-031-62488-9
URL:
https://doi.org/10.1007/978-3-031-62488-9
Bookmarklink
