On the Regression and Assimilation for Air Quality Mapping Using Dense Low-Cost WSN. - Mohamed Anis Fekih; Ichrak Mokhtari; Walid Bechkit; Yasmine Belbaki; Hervé Rivano (AINA, 2020)

A generic framework for monitoring pollution plumes in emergencies using UAVs. - Ichrak Mokhtari; Walid Bechkit; Hervé Rivano (IJCNN, 2021)

Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction. - Ichrak Mokhtari; Walid Bechkit; Hervé Rivano; Mouloud Riadh Yaici (IEEE Access, 2021)

Spatio-temporal analysis of dynamic phenomenon with mobile sensors: Application to air pollution. (Analyse spatio-temporelle de phénomènes dynamiques à l'aide de capteurs mobiles : Application à la pollution l'air). - Ichrak Mokhtari (2023)

Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation. - Ichrak Mokhtari; Walid Bechkit; Mohamed Sami Assenine; Hervé Rivano (CoRR, 2024)

Cooperative Deep Reinforcement Learning for Dynamic Pollution Plume Monitoring Using a Drone Fleet. - Mohamed Sami Assenine; Walid Bechkit; Ichrak Mokhtari; Hervé Rivano; Karima Benatchba (IEEE Internet Things J., 2024)