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The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction., , , , , , , , , and 4 other author(s). CoRR, (2023)Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice., , , , , and . CoRR, (2023)Demo: Robotics meets Augmented Reality: Real-Time Mapping with Boston Dynamics Spot and Microsoft HoloLens 2., , , , , , and . WoWMoM, page 358-360. IEEE, (2023)Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks., , , , , , , and . MobiWac, page 19-27. ACM, (2022)Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches., , , , , , , , , and 4 other author(s). IEEE Access, (2023)Remote Controlling Mobile Robots with Adaptive Video Streaming and Augmented Reality., , , , , and . BlackSeaCom, page 45-50. IEEE, (2023)Comparison of Analyze-Then-Compress Methods in Edge-Assisted Visual SLAM., , , , , and . IEEE Access, (2023)Estimating Link Capacity with Uncertainty Bounds in Cellular Networks., , , , , , , , and . BlackSeaCom, page 117-122. IEEE, (2023)Circular Frame Buffer to Enhance Map Synchronization in Edge Assisted SLAM., , , , , and . ICC, page 210-215. IEEE, (2023)Demo: The Future of Dog Walking - Four-Legged Robots and Augmented Reality., , , , , , and . WoWMoM, page 352-354. IEEE, (2023)