Shaping the Future of IoT with Edge Intelligence
portes grátis
Shaping the Future of IoT with Edge Intelligence
How Edge Computing Enables the Next Generation of IoT Applications
Sofia, Rute C.; Soldatos, John
River Publishers
01/2024
413
Dura
Inglês
9788770040273
15 a 20 dias
Descrição não disponível.
1. Edge Networking Technology Drivers for Next-generation Internet of Things in TERMINET Project 2. AI-driven Service and Slice Orchestration 3. Tactile IoT Architecture for the IoT-Edge-Cloud Continuum: The ASSIST-IoT Approach 4. Machine Learning (ML) as a Service (MLaaS): Enhancing IoT with Intelligence with Adaptive Online Deep and Reinforcement Learning, Model Sharing and Zero Knowledge Model Verification 5. Federated Learning Models in a Decentralized Critical Infrastructure 6. Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks 7. Intelligent Management at the Edge 8. IoT Things to Service Matchmaking at the Edge 9. A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT Based on Microservers 10. Methods for Requirements Engineering, Verification, Security, Safety and Robustness in AIoT systems 11. Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT 12. Achieving Security and Privacy in NG-IoT Using Blockchain Techniques 13. Enabling Remote-controlled Factory Robots via a Smart IoT Application Programming Interface 14. A Practical Deployment of Tactile IoT: 3D Models and Mixed Reality to Increase Safety at Construction Sites 15. Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving 16. The EFPF Approach to Manufacturing Applications Across Edge-Cloud Architectures 17. The EU-IoT Skills Framework for IoT Training and Career Development Processes 18. Digital Business IoT Maturity Patterns from an EU-IoT Ecosystem
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federated learning;distributed ledger technology;AIoT systems;privacy preservation;industrial automation;digital skills framework;decentralized edge intelligence applications
1. Edge Networking Technology Drivers for Next-generation Internet of Things in TERMINET Project 2. AI-driven Service and Slice Orchestration 3. Tactile IoT Architecture for the IoT-Edge-Cloud Continuum: The ASSIST-IoT Approach 4. Machine Learning (ML) as a Service (MLaaS): Enhancing IoT with Intelligence with Adaptive Online Deep and Reinforcement Learning, Model Sharing and Zero Knowledge Model Verification 5. Federated Learning Models in a Decentralized Critical Infrastructure 6. Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks 7. Intelligent Management at the Edge 8. IoT Things to Service Matchmaking at the Edge 9. A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT Based on Microservers 10. Methods for Requirements Engineering, Verification, Security, Safety and Robustness in AIoT systems 11. Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT 12. Achieving Security and Privacy in NG-IoT Using Blockchain Techniques 13. Enabling Remote-controlled Factory Robots via a Smart IoT Application Programming Interface 14. A Practical Deployment of Tactile IoT: 3D Models and Mixed Reality to Increase Safety at Construction Sites 15. Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving 16. The EFPF Approach to Manufacturing Applications Across Edge-Cloud Architectures 17. The EU-IoT Skills Framework for IoT Training and Career Development Processes 18. Digital Business IoT Maturity Patterns from an EU-IoT Ecosystem
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
