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Ali Krayani
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2020 – today
- 2024
- [j8]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Modeling Autonomous Vehicle Responses to Novel Observations Using Hierarchical Cognitive Representations Inspired Active Inference. Comput. 13(7): 161 (2024) - [j7]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Exploring action-oriented models via active inference for autonomous vehicles. EURASIP J. Adv. Signal Process. 2024(1): 92 (2024) - [c15]Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems. FUSION 2024: 1-8 - [c14]Ali Krayani, Khalid Khan, Lucio Marcenaro, Mario Marchese, Carlo S. Regazzoni:
Self-Supervised Path Planning in UAV-Aided Wireless Networks Based on Active Inference. ICASSP 2024: 13181-13185 - [c13]Nobel J. William, Ali Krayani, Lucio Marcenaro, Carlo S. Regazzoni:
Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks. WCNC 2024: 1-7 - [i2]Ali Krayani, Khalid Khan, Lucio Marcenaro, Mario Marchese, Carlo S. Regazzoni:
Self-Supervised Path Planning in UAV-aided Wireless Networks based on Active Inference. CoRR abs/2403.13827 (2024) - 2023
- [j6]Ali Krayani, Khalid Khan, Lucio Marcenaro, Mario Marchese, Carlo S. Regazzoni:
A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks. Sensors 23(15): 6873 (2023) - [c12]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín, Carlo S. Regazzoni:
Adapting Exploratory Behaviour in Active Inference for Autonomous Driving. ICASSP 2023: 1-5 - [c11]Ali Krayani, Gabriele Barabino, Lucio Marcenaro, Carlo S. Regazzoni:
Integrated Sensing and Communication for Joint GPS Spoofing and Jamming Detection in Vehicular V2X Networks. WCNC 2023: 1-7 - [c10]Felix Obite, Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
Active Inference for Sum Rate Maximization in UAV-Assisted Cognitive NOMA Networks. WF-IoT 2023: 1-6 - 2022
- [b1]Ali Krayani:
Learning Self-Awareness Models for Physical Layer Security in Cognitive and AI-enabled Radios. University of Genoa, Italy, 2022 - [j5]Sheida Nozari, Ali Krayani, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Active Inference Integrated With Imitation Learning for Autonomous Driving. IEEE Access 10: 49738-49756 (2022) - [j4]Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
A Novel Resource Allocation for Anti-Jamming in Cognitive-UAVs: An Active Inference Approach. IEEE Commun. Lett. 26(10): 2272-2276 (2022) - [j3]Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
An Emergent Self-Awareness Module for Physical Layer Security in Cognitive UAV Radios. IEEE Trans. Cogn. Commun. Netw. 8(2): 888-906 (2022) - [j2]Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
Automatic Jamming Signal Classification in Cognitive UAV Radios. IEEE Trans. Veh. Technol. 71(12): 12972-12988 (2022) - [c9]Sheida Nozari, Ali Krayani, Lucio Marcenaro, David Martín, Carlo S. Regazzoni:
Incremental Learning through Probabilistic Behavior Prediction. EUSIPCO 2022: 1502-1506 - [c8]Ali Krayani, Nobel J. William, Atm Shafiul Alam, Lucio Marcenaro, Zhijin Qin, Arumugam Nallanathan, Carlo S. Regazzoni:
Generalized Filtering with Transport Planning for Joint Modulation Conversion and Classification in AI-enabled Radios. ICC 2022: 3759-3765 - [c7]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín, Carlo S. Regazzoni:
Autonomous Driving Based on Imitation and Active Inference. SYSINT 2022: 13-22 - [i1]Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach. CoRR abs/2208.05269 (2022) - 2021
- [c6]Ali Krayani, Atm Shafiul Alam, Marco Calipari, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
Automatic Modulation Classification in Cognitive-IoT Radios using Generalized Dynamic Bayesian Networks. WF-IoT 2021: 235-240 - 2020
- [j1]Andrea Toma, Ali Krayani, Muhammad Farrukh, Haoran Qi, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni:
AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models. IEEE Trans. Cogn. Commun. Netw. 6(1): 21-34 (2020) - [c5]Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Atm Shafiul Alam, Carlo S. Regazzoni:
Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios. GLOBECOM 2020: 1-7 - [c4]Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni:
Smart Jammer Detection for Self-Aware Cognitive UAV Radios. PIMRC 2020: 1-7 - [c3]Andrea Toma, Ali Krayani, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni:
Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios. PIMRC 2020: 1-7
2010 – 2019
- 2019
- [c2]Ali Krayani, Muhammad Farrukh, Mohamad Baydoun, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni:
Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio. EUSIPCO 2019: 1-5 - [c1]Muhammad Farrukh, Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni:
Learning a Switching Bayesian Model for Jammer Detection in the Cognitive-Radio-Based Internet of Things. WF-IoT 2019: 380-385
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