Amal Feriani

According to our database, Amal Feriani authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach.

Firas Fredj, Amal Feriani, Amine Mezghani, Ekram Hossain

IEEE Trans. Wirel. Commun., August, 2024

Device-Free Human State Estimation using UWB Multi-Static Radios.

Saria Al Laham, Bobak H. Baghi, Pierre-Yves Lajoie, Amal Feriani, Sachini Herath, Steve Liu, Gregory Dudek

CoRR, 2024

Accelerating Digital Twin Calibration with Warm-Start Bayesian Optimization.

Abhisek Konar, Amal Feriani, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2024

2023

Reinforcement learning for communication load balancing: approaches and challenges.

Di Wu, Jimmy Li, Amal Feriani, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek

Frontiers Comput. Sci., 2023

SAGE: Smart home Agent with Grounded Execution.

Dmitriy Rivkin, Francois Robert Hogan, Amal Feriani, Abhisek Konar, Adam Sigal, Steve Liu, Gregory Dudek

CoRR, 2023

CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation.

Amal Feriani, Di Wu, Steve Liu, Gregory Dudek

CoRR, 2023

Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues.

Mohamed Akrout, Amal Feriani, Faouzi Bellili, Amine Mezghani, Ekram Hossain

IEEE Commun. Surv. Tutorials, 2023

Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks.

Dun Yuan, Yujin Nam, Amal Feriani, Abhisek Konar, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2023

Variational Inference-Based Channel Estimation for Reconfigurable Intelligent Surface-Aided Wireless Systems.

Firas Fredj, Amal Feriani, Amine Mezghani, Ekram Hossain

Proceedings of the IEEE International Conference on Communications, 2023

Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study.

Mohamed Akrout, Amal Feriani, Faouzi Bellili, Amine Mezghani, Ekram Hossain

Proceedings of the IEEE International Conference on Communications, 2023

2022

Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach.

Amal Feriani, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Ekram Hossain, Xue Liu, Gregory Dudek

IEEE J. Sel. Areas Commun., 2022

A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools.

Mohamed Akrout, Hayet Amdouni, Amal Feriani, Monia Kourda, Latif Abid

CoRR, 2022

Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning.

Mohamed Akrout, Amal Feriani, Bob McLeod

CoRR, 2022

A 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools.

Mohamed Akrout, Hayet Amdouni, Amal Feriani, Monia Kourda, Latif Abid

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

2021

On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems.

Amal Feriani, Amine Mezghani, Ekram Hossain

CoRR, 2021

Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty.

Yuanchao Xu, Amal Feriani, Ekram Hossain

CoRR, 2021

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial.

Amal Feriani, Ekram Hossain

IEEE Commun. Surv. Tutorials, 2021

2020

Tracking Pandemics: A MEC-Enabled IoT Ecosystem with Learning Capability.

Amal Feriani, Ahmed Refaey, Ekram Hossain

IEEE Internet Things Mag., 2020

2019

Hacking Google reCAPTCHA v3 using Reinforcement Learning.

Ismail Akrout, Amal Feriani, Mohamed Akrout

CoRR, 2019

DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search.

Guillaume Michel, Mohammed Amine Alaoui, Alice Lebois, Amal Feriani, Mehdi Felhi

CoRR, 2019