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 390 المشاهدات 0 الاقتباسات

الاقتباسات

390

المشاهدات

الملخص غير متوفر لهذا المنشور.

الاستشهاد بهذا المقال (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

U. Younas; J. Muhammad; H.F. Ismael; Tukur Abdulkadir Sulaiman; Homan Emadifar; · 2025

استشهاد

397

Experimental and machine learning assessment of sustainable natural fiber reinforced concrete incorp…

Md. Hamidul Islam; Shuvo Dip Datta; Sanjoy Mondol; Md. Habibur Rahman Sobuz; Jaw · 2025

استشهاد

390

Enhanced u-net for lesion segmentation in whole-slide images: Integrating attention mechanisms and m…

Fan Wu; Yuliang Sun; Peijuan Wang; Fengjun Hu; Ghulam Abbas; Amr Yousef; Ezzeddi · 2025

استشهاد

401

Analysis of the application of generative artificial intelligence in interior design education