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Self-Organizing Maps for advanced learning in cognitive radio systems., , and . Comput. Electr. Eng., 38 (4): 862-881 (2012)Neural network-based learning schemes for cognitive radio systems., , and . Comput. Commun., 31 (14): 3394-3404 (2008)Energy-aware traffic allocation to optical lightpaths in multilayer core networks., , , , and . Int. J. Netw. Manag., 25 (6): 394-417 (2015)Resource Sharing in 5G Contexts: Achieving Sustainability with Energy and Resource Efficiency., , , and . IEEE Veh. Technol. Mag., 11 (1): 40-49 (2016)Power control in CDMA networks based on soft computing methods., , , and . Soft Comput., 9 (2): 81-87 (2005)Deep Learning Approaches for Mobile Trajectory Prediction., , and . GLOBECOM (Workshops), page 1-6. IEEE, (2021)Exploiting context, profiles, and policies in dynamic sub-carrier assignment algorithms for efficient radio resource management in OFDMA networks., , and . Ann. des Télécommunications, 65 (7-8): 359-374 (2010)Quality-of-Trust in 6G: Combining Emotional and Physical Trust through Explainable AI., , , , , , and . VTC Fall, page 1-7. IEEE, (2023)Optimisation of Radio Access Network Operation Introducing Self-x Functions: Use Cases, Algorithms, Expected Efficiency Gains., , , , , , , , , and . VTC Spring, IEEE, (2009)Green footprint of Cognitive Management Technologies for Future Networks., , , and . MIPRO, page 645-649. IEEE, (2011)