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Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches., , , , , , , , , and 4 other author(s). IEEE Access, (2023)Berlin V2X., , , , , , , , , and 7 other author(s). (February 2023)The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction., , , , , , , , , and 4 other author(s). CoRR, (2023)Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation., , , , and . Sensors, 22 (4): 1519 (2022)Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies., , , , , , , , , and 7 other author(s). CoRR, (2022)Online QoS estimation for vehicular radio environments., , , , , and . EUSIPCO, page 1701-1705. IEEE, (2022)QoS prediction in radio vehicular environments via prior user information., , , , and . CoRR, (2024)Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies., , , , , , , , , and 7 other author(s). VTC2023-Spring, page 1-5. IEEE, (2023)Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal., , , , , , , , , and 7 other author(s). CoRR, (2023)Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets., , , , , , , , , and 6 other author(s). CoRR, (2023)