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A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach., , , , and . CoRR, (2022)Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio., , , , , and . EUSIPCO, page 1-5. IEEE, (2019)Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks., , , and . WCNC, page 1-7. IEEE, (2024)Modeling Autonomous Vehicle Responses to Novel Observations Using Hierarchical Cognitive Representations Inspired Active Inference., , , , , and . Comput., 13 (7): 161 (July 2024)Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios., , , , and . PIMRC, page 1-7. IEEE, (2020)Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems., , , , , and . FUSION, page 1-8. IEEE, (2024)Exploring action-oriented models via active inference for autonomous vehicles., , , , , and . EURASIP J. Adv. Signal Process., 2024 (1): 92 (December 2024)Learning a Switching Bayesian Model for Jammer Detection in the Cognitive-Radio-Based Internet of Things., , , , , and . WF-IoT, page 380-385. IEEE, (2019)Smart Jammer Detection for Self-Aware Cognitive UAV Radios., , , , and . PIMRC, page 1-7. IEEE, (2020)Adapting Exploratory Behaviour in Active Inference for Autonomous Driving., , , , , and . ICASSP, page 1-5. IEEE, (2023)