149 results on '"Cabellos-Aparicio, Albert"'
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2. Topological Network Traffic Compression
3. Detecting Contextual Network Anomalies with Graph Neural Networks
4. The Scaling Laws of HyperSurfaces
5. Enhancing 5G Radio Planning with Graph Representations and Deep Learning
6. Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities
7. Workload Characterization and Traffic Analysis for Reconfigurable Intelligent Surfaces Within 6G Wireless Systems
8. Graphene-Enabled Wireless Nanoscale Networking Communications in the Terahertz Band
9. Terahertz Programmable Metasurfaces
10. Graphene-Based Antenna Design for Communications in the Terahertz Band
11. Nanoscale Channel Modeling in Highly Integrated Computing Packages
12. Media Access Control for Nanoscale Communications and Networking
13. Nanoscale Wireless Communications as Enablers of Massive Manycore Architectures
14. Bayesian inference of spatial and temporal relations in AI patents for EU countries
15. MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering
16. RouteNet-Fermi: Network Modeling With Graph Neural Networks
17. Unveiling the potential of graph neural networks for BGP anomaly detection
18. Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case
19. Building a Digital Twin for network optimization using Graph Neural Networks
20. Network Digital Twin: Context, Enabling Technologies, and Opportunities
21. Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing
22. ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning
23. Fundamentals of Graphene-Enabled Wireless On-Chip Networking
24. Unveiling the potential of Graph Neural Networks for robust Intrusion Detection
25. Multiwideband Terahertz Communications Via Tunable Graphene-Based Metasurfaces in 6G Networks: Graphene Enables Ultimate Multiwideband THz Wavefront Control
26. FlowDT: A Flow-Aware Digital Twin for Computer Networks
27. RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation
28. Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies
29. On the Enabling of Multi-Receiver Communications With Reconfigurable Intelligent Surfaces
30. IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems
31. Is Machine Learning Ready for Traffic Engineering Optimization?
32. IGNNITION
33. The graph neural networking challenge
34. Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges
35. Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO)
36. Radiation Pattern Prediction for Metasurfaces: A Neural Network-Based Approach
37. Building a Digital Twin for Network Optimization Using Graph Neural Networks
38. An Analytical Model for the LISP Cache Size
39. An Experimental Evaluation of Packet-Level Measurements of Hidden Traffic Load
40. Network Performance Assessment Using Adaptive Traffic Sampling
41. Preventing Route Leaks using a Decentralized Approach: An Experimental Evaluation
42. RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN
43. Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software‐Defined Metasurfaces with an Embedded Network of Controllers
44. Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective
45. Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication
46. Error Analysis of Programmable Metasurfaces for Beam Steering
47. Scalability Analysis of Programmable Metasurfaces for Beam Steering
48. A Flexible and Distributed Home Agent Architecture for Mobile IPv6-Based Networks
49. Towards more realistic network models based on Graph Neural Networks
50. Enhanced Fast Handovers Using a Multihomed Mobile IPv6 Node
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