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Abdul Wahab, O., Kara, N., Edstrom, C., & Lemieux, Y. (2019). MAPLE: A machine learning approach for efficient placement and adjustment of virtual network functions. Journal of Network and Computer Applications, 142, 37-50. Lien externe
Abijaude, J. W., Santiago, L., de Lima Sobreira, P., Abdul Wahab, O., & Greve, F. (juillet 2021). IoTCocoa - an IoT platform to assist gourmet cocoa production [Communication écrite]. IEEE Latin-American Conference on Communications (LATINCOM 2019), Shenzhen, China. Lien externe
Abusitta, A., Aïmeur, E., & Abdul Wahab, O. (août 2020). Generative adversarial networks for mitigating biases in machine learning systems [Communication écrite]. 24th European Conference on Artificial Intelligence (ECAI 2019), Santiago de Compostela, Spain (11 pages). Lien externe
Hammoud, A., Otrok, H., Mourad, A., Abdul Wahab, O., & Bentahar, J. (2019). On the detection of passive malicious providers in cloud federations. IEEE Communications Letters, 23(1), 64-67. Lien externe
Rjoub, G., Bentahar, J., Abdul Wahab, O., & Bataineh, A. (août 2019). Deep smart scheduling: A deep learning approach for automated big data scheduling over the cloud [Communication écrite]. 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), Istanbul, Turkey. Lien externe
