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Equation-driven strength prediction of GGBS concrete: a symbolic machine learning approach for sustainable development Cover

Equation-driven strength prediction of GGBS concrete: a symbolic machine learning approach for sustainable development

Open Access
|Dec 2025

Authors

Muhammad Nasir Amin

mamin@nice.nust.edu.pk

NUST Institute of Civil Engineering (NICE), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad, Pakistan

Asad Naeem

asnaeem@mce.nust.edu.pk

Department of Structural Engineering, Military College of Engineering, National University of Sciences and Technology (NUST), Risalpur, Pakistan

Muhammad Iftikhar Faraz

Department of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia

Muhammad Tahir Qadir

mqdir@kfu.edu.sa

Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia
Language: English
Submitted on: Aug 14, 2025
Accepted on: Oct 31, 2025
Published on: Dec 11, 2025
Published by: Sciendo
In partnership with: Paradigm Publishing Services

© 2025 Muhammad Nasir Amin, Asad Naeem, Muhammad Iftikhar Faraz, Muhammad Tahir Qadir, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.