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4. Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference

7. EL DELITO DE INCUMPLIMIENTO DE LAS SANCIONES INTERNACIONALES Y LA DIRECTIVA (UE) 2024/1226, DE 24 DE ABRIL.

9. Multi-agent graph learning-based optimization and its applications to computer networks

12. Life Extension Should Come with Wisdom: Reflections and Questions for the Geroscience and Longevity Community.

13. Comprehensive Two-Dimensional Gas Chromatography with Peak Tracking for Screening of Constituent Biodegradation in Petroleum UVCB Substances

14. Unveiling the potential of Graph Neural Networks for robust Intrusion Detection

15. Performance-oriented digital twins for packet and optical networks

16. Implementing spatio-temporal GNN in IGNNITION

17. El trabajo con los animales de la granja en el aula de educación infantil

18. Graph neural networks for communication networks: context, use cases and opportunities

19. RouteNet-Fermi: network modeling with graph neural networks

20. Bayesian inference of spatial and temporal relations in AI patents for EU countries

21. MAGNNETO: A graph neural network-based multi-agent system for traffic engineering

22. Multi-channel medium access control protocols for wireless networks within computing packages

23. Comprehensive Two-Dimensional Gas Chromatography with Peak Tracking for Screening of Constituent Biodegradation in Petroleum UVCB Substances

24. Leveraging graph neural networks for optimization and traffic compression in network digital twins

25. Deep learning for wireless communications

26. RiskNet: neural risk assessment in networks of unreliable resources

29. Missing the "We" in Precision Medicine.

34. El uso de materiales reales en el aula de inglés para la integración: análisis y propuesta de intervención

35. Scale up your In-Memory Accelerator: leveraging wireless-on-chip communication for AIMC-based CNN inference

36. Network digital twin: context, enabling technologies, and opportunities

37. Building a Digital Twin for network optimization using graph neural networks

38. Optimal power flow computation using neural networks

39. FlowDT: A Flow-aware Digital Twin for computer networks

40. Unveiling the potential of graph neural networks for BGP anomaly detection

41. Fast traffic engineering by gradient descent with learned differentiable routing

42. Tunable graphene-based metasurfaces for multi-wideband 6G communications

43. RouteNet-Erlang: A graph neural network for network performance evaluation

44. ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning

45. Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies

46. Multiwideband terahertz communications via tunable graphene-based metasurfaces in 6G networks: Graphene enables ultimate multiwideband THz wavefront control

47. Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case

48. On the enabling of multi-receiver communications with reconfigurable intelligent surfaces

49. Exploring alternatives to policy search

50. Bioaccumulation assessment of air-breathing mammals: a discussion paper

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