SIMS Lab · Research
WPF Project Publications
Project publications from the SIMS Lab team. For the full lab publication list, see All Publications.
[J1]
Bakhtawar, B., Zayed, T., & Arshad, H. (2025). Multi-step time-to-failure predictions in water pipelines using feature engineering and cascading ensembles. Water Research, 124253.
[J2]
Taiwo, R., Zayed, T., Bakhtawar, B., & Adey, B. T. (2025). Explainable deep learning models for predicting water pipe failures. Journal of Environmental Management, 379, 124738. https://doi.org/10.1016/j.jenvman.2025.124738
[J3]
Xing, J., Ali, E., Zayed, T., Elshaboury, N., Eltoukhy, A. E., Abdelkader, E. M., & Taiwo, R. (2025). Revealing Critical Pipes in Water Networks through Integrated Edge Centrality and Multi-Criteria Vulnerability Analysis. Water Research X, 100366. https://doi.org/10.1016/j.wroa.2025.100366
[J4]
Bakhtawar, B., Zayed, T., Shaban, I. A., Elshaboury, N., & Yussif, A. M. (2025). Ageing underground water pipelines: Time-to-failure models, gaps and future directions. Water Research X, 29, 100331. https://doi.org/10.1016/j.wroa.2025.100331
[J5]
Bakhtawar, B., Zayed, T., & Elshaboury, N. (2025). Time-to-failure based deterioration factors of water networks: Systematic review and prioritization. Reliability Engineering & System Safety, 111246. https://doi.org/10.1016/j.ress.2025.111246
[J6]
Elshaboury, N., Zayed, T., & Abdelkader, E. M. A hybrid spherical fuzzy AHP-MARCOS model for evaluating the condition of saltwater pipes in Hong Kong. Engineering Construction and Architectural Management. https://doi.org/10.1108/ECAM-08-2023-0777