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The last 5 uploaded publications
Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: Evidence from wastewater treatment and experimental laboratory
Jamilu Usman, Babatunde Abiodun Salami, Afeez Gbadamosi, Haruna Adamu, A. G. Usman, Mohammed Benaafi, Sani I. Abba, Mohd Hafiz Dzarfan Othman, Isam H. Aljundi (2023). Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: Evidence from wastewater treatment and experimental laboratory. Chemosphere, 331, pp. 138726-138726, DOI: 10.1016/j.chemosphere.2023.138726.
Article292 days agoGenetic neuro-computing model for insights on membrane performance in oily wastewater treatment: An integrated experimental approach
Jamilu Usman, Sani I. Abba, Niyi B. Ishola, Tijjani El‐badawy, Haruna Adamu, Afeez Gbadamosi, Babatunde Abiodun Salami, A.G. Usman, Mohammed Benaafi, Mohd Hafiz Dzarfan Othman, Isam H. Aljundi (2023). Genetic neuro-computing model for insights on membrane performance in oily wastewater treatment: An integrated experimental approach. Process Safety and Environmental Protection, 199, pp. 33-48, DOI: 10.1016/j.cherd.2023.09.027.
Article292 days agoEngineered and green natural pozzolan-nano silica-based alkali-activated concrete: shrinkage characteristics and life cycle assessment
Babatunde Abiodun Salami, M. Mohamed Ibrahim, Mohammed Al-osta, Muhammad Nasir, Mohammed Rizwan Ali, Ashraf A. Bahraq, Alimi Wasiu (2022). Engineered and green natural pozzolan-nano silica-based alkali-activated concrete: shrinkage characteristics and life cycle assessment. Environmental Science and Pollution Research, 30(7), pp. 17840-17853, DOI: 10.1007/s11356-022-23424-8.
Article255 days agoA hybrid machine learning approach for predicting fiber-reinforced polymer-concrete interface bond strength
Sarmed Wahab, Babatunde Abiodun Salami, Hassan Danish, Salman Nisar, Ali Alateah, Ali Alsubeai (2025). A hybrid machine learning approach for predicting fiber-reinforced polymer-concrete interface bond strength. , 148, DOI: https://doi.org/10.1016/j.engappai.2025.110458.
Article242 days agoA Hybrid Machine Learning Approach for Predicting Fiber Reinforced Polymer-Concrete Interface Bond Strength
Sarmed Wahab, Babatunde Abiodun Salami, Hassan Danish, Salman Nisar, Ali Alateah, Ali Alsubeai (2024). A Hybrid Machine Learning Approach for Predicting Fiber Reinforced Polymer-Concrete Interface Bond Strength. , DOI: https://doi.org/10.2139/ssrn.5055231.
Preprint242 days ago