Hybrid metaheuristic (WOA-HHO) optimized machine learning for compressive strength prediction of nano silica modified self compacting recycled aggregate concrete

Ahmed A. Alawi Al-Naghi; Muhammad Sarmad Mahmood; Tariq Ali; Muhammad Zeeshan Qureshi; Nejib Ghazouani; Mohamed Hechmi El Ouni; D. Manikandan; Krishnaraj Ramaswamy

doi:10.1016/j.asej.2026.104368

Q1 2026

Hybrid metaheuristic (WOA-HHO) optimized machine learning for compressive strength prediction of nano silica modified self compacting recycled aggregate concrete

Ahmed A. Alawi Al-Naghi · Muhammad Sarmad Mahmood · Tariq Ali · Muhammad Zeeshan Qureshi · Nejib Ghazouani · Mohamed Hechmi El Ouni · D. Manikandan · Krishnaraj Ramaswamy

10.1016/j.asej.2026.104368 389 Views 0 Citations

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Cite this Article (APA)

Ahmed, A. A. A., Muhammad, S. M., Tariq, A., Muhammad, Z. Q., Nejib, G., Mohamed, H. E. O., D., M., Krishnaraj, R. (2026). Hybrid metaheuristic (WOA-HHO) optimized machine learning for compressive strength prediction of nano silica modified self compacting recycled aggregate concrete. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2026.104368