A hybrid metaheuristic-machine learning framework for high-fidelity prediction of geopolymer concrete compressive strength

Journal of Building Pathology and Rehabilitation 2026

View at publisher

Authors: Godwin Ativor, Samuel Nana Eshun, Kofi Otchere, Yao Yevenyo Ziggah

DOI: 10.1007/s41024-026-00786-x

Cited by: 1

References: 48

Fields of Study & Subjects

Concrete and Cement Materials Research Innovative concrete reinforcement materials Rock Mechanics and Modeling

References 48