Quality, Reliability, Security and Robustness in Heterogeneous Systems (eBook, PDF)
19th EAI International Conference, QShine 2023, Shenzhen, China, October 8 - 9, 2023, Proceedings, Part I
Redaktion: Leung, Victor C. M.; Ning, Zhaolong; Hu, Xiping; Li, Hezhang
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This book constitutes the refereed post-conference proceedings of the 19th EAI International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2023, held in October 2023.The 78 full papers included in these proceedings were carefully reviewed and selected from 200 submissions. They are organized in these topical sections:Part I: E-Health networks; transportation networks; reliability and scalability; E-Health networks II; artificial intelligence and machine learning I; networks and applications.Part II: Robustness; Network Security and Privacy; Quali...
This book constitutes the refereed post-conference proceedings of the 19th EAI International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2023, held in October 2023.
The 78 full papers included in these proceedings were carefully reviewed and selected from 200 submissions. They are organized in these topical sections:
Part I: E-Health networks; transportation networks; reliability and scalability; E-Health networks II; artificial intelligence and machine learning I; networks and applications.
Part II: Robustness; Network Security and Privacy; Quality of Service (QoS) and Quality of Experience (QoE); Artificial Intelligence and Machine Learning II; Autonomous Vehicles.
The 78 full papers included in these proceedings were carefully reviewed and selected from 200 submissions. They are organized in these topical sections:
Part I: E-Health networks; transportation networks; reliability and scalability; E-Health networks II; artificial intelligence and machine learning I; networks and applications.
Part II: Robustness; Network Security and Privacy; Quality of Service (QoS) and Quality of Experience (QoE); Artificial Intelligence and Machine Learning II; Autonomous Vehicles.
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