Ali Krayani

Orcid: 0000-0002-6598-2805

According to our database1, Ali Krayani authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Self-Supervised Path Planning in UAV-aided Wireless Networks based on Active Inference.
CoRR, 2024

2023
A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks.
Sensors, August, 2023

Integrated Sensing and Communication for Joint GPS Spoofing and Jamming Detection in Vehicular V2X Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Adapting Exploratory Behaviour in Active Inference for Autonomous Driving.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Learning Self-Awareness Models for Physical Layer Security in Cognitive and AI-enabled Radios.
PhD thesis, 2022

Automatic Jamming Signal Classification in Cognitive UAV Radios.
IEEE Trans. Veh. Technol., 2022

An Emergent Self-Awareness Module for Physical Layer Security in Cognitive UAV Radios.
IEEE Trans. Cogn. Commun. Netw., 2022

A Novel Resource Allocation for Anti-Jamming in Cognitive-UAVs: An Active Inference Approach.
IEEE Commun. Lett., 2022

Active Inference Integrated With Imitation Learning for Autonomous Driving.
IEEE Access, 2022

Autonomous Driving Based on Imitation and Active Inference.
Proceedings of the Advances in System-Integrated Intelligence, 2022

Generalized Filtering with Transport Planning for Joint Modulation Conversion and Classification in AI-enabled Radios.
Proceedings of the IEEE International Conference on Communications, 2022

Incremental Learning through Probabilistic Behavior Prediction.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Automatic Modulation Classification in Cognitive-IoT Radios using Generalized Dynamic Bayesian Networks.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2020
AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models.
IEEE Trans. Cogn. Commun. Netw., 2020

Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Smart Jammer Detection for Self-Aware Cognitive UAV Radios.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Learning a Switching Bayesian Model for Jammer Detection in the Cognitive-Radio-Based Internet of Things.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio.
Proceedings of the 27th European Signal Processing Conference, 2019


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