Sustainable Construction Analytics: Smart Modeling for Compressive Strength Prediction in Arabic Gum-Modified Mortar
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42824-024-00108-x.pdf
Reference61 articles.
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3. Ahmad SA, Rafiq SK (2023) Numerical modeling to predict the impact of granular glass replacement on mechanical properties of mortar. Asian J Civ Eng:1–19. https://doi.org/10.1007/s42107-023-00753-8
4. Ahmad SA, Rafiq SK, Ahmed HU, Abdulrahman AS, Ramezanianpour AM (2023c) Innovative soft computing techniques including artificial neural network and nonlinear regression models to predict the compressive strength of environmentally friendly concrete incorporating waste glass powder. Innov Infrastruct Solut 8(4):119
5. Ahmad SA, Rafiq SK, Faraj RH (2023a) Modeling the compressive strength of green mortar modified with waste glass granules and fly ash using soft computing techniques. Innov Infrastruct Solut 8(1):67
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