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Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey., , , and . Veh. Commun., (February 2023)The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G., , , , , , , , , and 13 other author(s). IEEE Access, (2023)AI-driven, Context-Aware Profiling for 5G and Beyond Networks., , , and . IEEE Trans. Netw. Serv. Manag., 19 (2): 1036-1048 (2022)5Growth Data-Driven AI-Based Scaling., , , , , , , , , and 4 other author(s). EuCNC/6G Summit, page 383-388. IEEE, (2021)Framework for Trustworthy AI/ML in B5G/6G., and . 6GNet, page 1-6. IEEE, (2022)5G connected and automated driving: use cases, technologies and trials in cross-border environments., , , , , , , , and . EURASIP J. Wirel. Commun. Netw., 2021 (1): 97 (2021)5G Vehicle-to-Everything Services in Cross-Border Environments: Standardization and Challenges., , , , , , , , , and 1 other author(s). IEEE Commun. Stand. Mag., 5 (1): 22-30 (2021)AI-driven, QoS prediction for V2X communications in beyond 5G systems., , , , , , and . Comput. Networks, (2022)5 Growth: Secure and Reliable Network Slicing for Verticals., , , , , , , , , and 11 other author(s). EuCNC/6G Summit, page 347-352. IEEE, (2021)An efficient RAT selection mechanism for 5G cellular networks., , , and . IWCMC, page 942-947. IEEE, (2014)