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Falahatraftar, F., Pierre, S., & Chamberland, S. (2023). An intelligent congestion avoidance mechanism based on generalized regression neural network for heterogeneous vehicular networks. IEEE Transactions on Intelligent Vehicles, 8(4), 3106-3118. Lien externe
Falahatraftar, F. (2021). Congestion Prediction and Avoidance Mechanisms for Heterogeneous Vehicular Networks [Thèse de doctorat, Polytechnique Montréal]. Disponible
Falahatraftar, F., Pierre, S., & Chamberland, S. (2021). A centralized and dynamic network congestion classification approach for heterogeneous vehicular networks. IEEE Access, 9, 122284-122298. Disponible
Falahatraftar, F., Pierre, S., & Chamberland, S. (2021). A conditional generative adversarial network based approach for network slicing in heterogeneous vehicular networks. Telecom, 2(1), 141-154. Lien externe
Falahatraftar, F., Pierre, S., & Chamberland, S. (octobre 2020). A Multiple Linear Regression Model for Predicting Congestion in Heterogeneous Vehicular Networks [Communication écrite]. 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2020), Thessaloniki, Greece (6 pages). Lien externe
