Ouhader, H., Sbai, A & Kyal, M. (2024). Sustainable supply chain design: A case of collaborative wholesale distribution. Uncertain Supply Chain Management, 12(4), 2263-2282.
Sbai, A., Oukhouya, L., & Touil, A. (2023). Classification of Ocular Diseases Related to Diabetes Using Transfer Learning. International Journal of Online & Biomedical Engineering, 19(11).
Oukhouya, L., El Haddadi, A., Er-raha B., & Sbai, A. (2023). Automating Data Warehouse Design with MDA Approach Using NoSQL and Relational Systems. Journal of Theoretical and Applied Information Technology, 101(23).
Rafi, S., Elmghari, G., Elansari, N., & Sbai, A. (2022). The use of artificial intelligence for early detection of acromegaly from patients’ photographs. World Journal of Advanced Research and Reviews, 16(1), 246-251.
Touil, A., Sbai, A., & Ghadi, F. (2019). Cluster-basea data collection scheme for vehicular ad-hoc networks. Procedia computer science, 148, 62-69.
Sbai, A., Touil, A., & Ghadi, F. (2018). Dynamic extension of entropy-based gravity model for trip distribution purpose. Journal of Theoretical and Applied Information Technology, 96(24), 8183-8193
Oukhouya, L., Ouhader, H., Derkaoui, G., Messoussi, M. E., Yanisse, S., & Sbai, A. (2024, May). Exploring Moroccan Medical Students’ Perception of Artificial Intelligence. In International Conference on Digital Technologies and Applications (pp. 76-85). Cham: Springer Nature Switzerland.
Sbai, A., Touil, A., & Oukhouya, L. (2022, December). Diabetic retinopathy detection using a pretrained machine learning model. In 2022 IEEE 3rd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) (pp. 1-3). IEEE.
Sbai, A., Oukhouya, L., & Touil, A. (2022, November). Using Deep Learning for the Detection of Ocular Diseases Caused by Diabetes. In The International Conference of Advanced Computing and Informatics (pp. 111-120). Cham: Springer International Publishing.
Oukhouya, L., haddadi, A. E., Er-raha, B., Asri, H., & Sbai, A. (2022, May). Designing Hybrid Storage Architectures with RDBMS and NoSQL Systems: A Survey. In International Conference on Advanced Intelligent Systems for Sustainable Development (pp. 332-343). Cham: Springer Nature Switzerland.
Sbai, A., & Ghadi, F. (2018, April). Estimation of origin destination matrix using fuzzy logic. In 2018 4th International Conference on Optimization and Applications (ICOA) (pp. 1-4). IEEE.
Sbai, A., & Ghadi, F. (2017, October). Impact of aggregation and deterrence function choice on the parameters of gravity model. In Proceedings of the mediterranean symposium on smart city applications (pp. 54-66). Cham: Springer International Publishing.
Sbaï, A., Van Zuylen, H. J., Li, J., Zheng, F., & Ghadi, F. (2017). Estimation of an urban OD matrix using different information sources. In Computational Science and Its Applications–ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part II 17 (pp. 183-198). Springer International Publishing.