| AI-based abnormality detection at the PHY-layer of cognitive radio by learning generative models A Toma, A Krayani, M Farrukh, H Qi, L Marcenaro, Y Gao, CS Regazzoni IEEE Transactions on Cognitive Communications and Networking 6 (1), 21-34, 2020 | 32 | 2020 |
| Self-learning Bayesian generative models for jammer detection in cognitive-UAV-radios A Krayani, M Baydoun, L Marcenaro, AS Alam, C Regazzoni GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-7, 2020 | 15 | 2020 |
| Learning a switching Bayesian model for jammer detection in the cognitive-radio-based Internet of Things M Farrukh, A Krayani, M Baydoun, L Marcenaro, Y Gao, CS Regazzoni 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 380-385, 2019 | 12* | 2019 |
| Automatic Modulation Classification in Cognitive-IoT Radios using Generalized Dynamic Bayesian Networks A Krayani, AS Alam, M Calipari, L Marcenaro, A Nallanathan, ... 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 235-240, 2021 | 8* | 2021 |
| Smart Jammer Detection for Self-Aware Cognitive UAV Radios A Krayani, M Baydoun, L Marcenaro, Y Gao, CS Regazzoni 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile …, 2020 | 8 | 2020 |
| Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios A Toma, A Krayani, L Marcenaro, Y Gao, CS Regazzoni 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile …, 2020 | 7 | 2020 |
| Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio A Krayani, M Farrukh, M Baydoun, L Marcenaro, Y Gao, CS Regazzoni 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 7 | 2019 |
| Automatic Jamming Signal Classification in Cognitive UAV Radios A Krayani, AS Alam, L Marcenaro, A Nallanathan, C Regazzoni IEEE Transactions on Vehicular Technology, 1 - 17, 2022 | 4 | 2022 |
| An emergent self-awareness module for physical layer security in cognitive uav radios A Krayani, AS Alam, L Marcenaro, A Nallanathan, C Regazzoni IEEE Transactions on Cognitive Communications and Networking 8 (2), 888-906, 2022 | 3 | 2022 |
| A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach A Krayani, AS Alam, L Marcenaro, A Nallanathan, C Regazzoni IEEE Communications Letters, 2022 | 2 | 2022 |
| Active Inference Integrated With Imitation Learning for Autonomous Driving S Nozari, A Krayani, P Marin-Plaza, L Marcenaro, DM Gómez, ... IEEE Access 10, 49738-49756, 2022 | 1 | 2022 |
| Incremental Learning through Probabilistic Behavior Prediction S Nozari, A Krayani, L Marcenaro, D Martin, C Regazzoni | 1 | 2022 |
| Integrated Sensing and Communication for Joint GPS Spoofing and Jamming Detection in Vehicular V2X Networks A Krayani, G Barabino, L Marcenaro, C Regazzoni 2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-7, 2023 | | 2023 |
| Adapting Exploratory Behaviour in Active Inference for Autonomous Driving S Nozari, A Krayani, P Marin, L Marcenaro, D Martin, C Regazzoni 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | | 2023 |
| Autonomous Driving Based on Imitation and Active Inference S Nozari, A Krayani, P Marin, L Marcenaro, D Martin, C Regazzoni Advances in System-Integrated Intelligence: Proceedings of the 6th …, 2022 | | 2022 |
| Generalized Filtering with Transport Planning for Joint Modulation Conversion and Classification in AI-enabled Radios A Krayani, NJ William, AS Alam, L Marcenaro, Z Qin, A Nallanathan, ... ICC 2022-IEEE International Conference on Communications, 3759-3765, 2022 | | 2022 |
| Jammer Detection in Vehicular V2X Networks A Krayani, NJ William, L Marcenaro, C Regazzoni 2022 IEEE 21st Mediterranean Microwave Symposium (MMS), 2022 | | 2022 |
| Learning self-awareness models for physical layer security in cognitive and AI-enabled radios A Krayani Queen Mary University of London, 2022 | | 2022 |
| Probabilistic anomaly detection methods using learned models from time-series data for multimedia self-aware systems C Regazzoni, A Krayani, G Slavic, L Marcenaro Advanced Methods and Deep Learning in Computer Vision, 449-479, 2022 | | 2022 |
| EVOLUTION OF COGNITIVE RADIO TO AI-ENABLED RADIO AND NETWORKS Y Gao, E Hossain, GY Li, K Sowerby, C Regazzoni, L Zhang, Z Qin, ... | | |
