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Bahra, N., & Pierre, S. (2021). A bidirectional trajectory prediction model for users in mobile networks. IEEE Access, 10, 1921-1935. 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
Fournier, A., El Khoury, F., & Pierre, S. (2021). A client/server malware detection model based on machine learning for Android devices. IoT, 2(3), 355-374. Lien externe
Haider, F., Zhang, D., St-Hilaire, M., & Makaya, C. (2021). On the Planning and Design Problem of Fog Computing Networks. IEEE Transactions on Cloud Computing, 9(2), 724-736. Lien externe
Pierre, S., & Italis, O. (2021). Les systèmes de paiement mobile à l'ère de la Covid19 : sécurité, vie privée et confiance numérique. [Mobile payment systems in the Covid-19 era: security, privacy and digital trust]. Technologie et Innovation, 21(6), 15 pages. Lien externe
Rodrigo, C., Pierre, S., Beaubrun, R., & El Khoury, F. (2021). BrainShield: A Hybrid Machine Learning-Based Malware Detection Model for Android Devices. Electronics, 10(23), 2948 (19 pages). Lien externe
