Mohammed Jouhari

Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks

Khalil Ibrahimi, J. Ben-othman, El-Mehdi Amhoud, 2022, Sensors.

Underwater Wireless Sensor Networks: A Survey on Enabling Technologies, Localization Protocols, and Internet of Underwater Things

Hamidou Tembine, Jalel Ben-Othman, Khalil Ibrahimi, 2019, IEEE Access.

Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization

Mohsen Guizani, Amr Mohamed, Aiman Erbad, 2021, IEEE Internet of Things Journal.

Analysis of Blockchain Selfish Mining: a Stochastic Game Approach

Mounir Ghogho, Mohammed Jouhari, Boutaina Jebari, 2022, ICC 2022 - IEEE International Conference on Communications.

Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game

A. Benslimane, Khalil Ibrahimi, Junaid Qadir, 2022, IEEE Transactions on Vehicular Technology.

Adversarial Attacks Against IoT Networks using Conditional GAN based Learning

A. Benslimane, Khalil Ibrahimi, El-Mehdi Amhoud, 2022, Global Communications Conference.

A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges

Mohamed-Slim Alouini, N. Saeed, El-Mehdi Amhoud, 2022, IEEE Communications Surveys & Tutorials.

Signaling game approach to improve the MAC protocol in the underwater wireless sensor networks

Jalel Ben-Othman, Hamidou Tembine, Khalil Ibrahimi, 2019, Int. J. Commun. Syst..

Spreading Factor assisted LoRa Localization with Deep Reinforcement Learning

El-Mehdi Amhoud, A. Burg, Yaya Etiabi, 2022, 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring).

MAC Protocol-Based Depth Adjustment and Splitting Mechanism for UnderWater Sensor Network (UWSN)

Jalel Ben-Othman, Khalil Ibrahimi, Mohamed Ammar, 2018, 2018 IEEE Global Communications Conference (GLOBECOM).