Explainable Ensemble Machine Learning for the Prediction and Optimization of Pozzolanic Concrete Compressive Strength. [PDF]
Jueyendah S, Ağcakoca E.
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Sustainable Low-Carbon Cement: Performance Enhancement with Calcined Natural Pozzolans Through Compressive Strength, Porosity, and Microstructural Analysis. [PDF]
Felix MS +4 more
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Influence of Pozzolans and Hemp Shives on the Properties of Non-Autoclaved Foamed Concrete. [PDF]
Mohamad A +3 more
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Enhancing sustainable concrete using waste ceramic powder and natural pozzolan through experimental and machine learning approaches. [PDF]
Nasr D, Babagoli R, Dehaghani AK.
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Diatomites from the Iberian Peninsula as Pozzolans. [PDF]
Costafreda JL +5 more
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Characterization of the Pozzolanic Potential of Oil Palm Kernel Shell Ash Obtained Through Optimization of Physicochemical Processes. [PDF]
Torres Ortega R +2 more
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Synthesis and Characterization of Eco-Efficient Alkali-Activated Composites with Self-Cleaning Properties for Sustainable Construction. [PDF]
Ślosarczyk A +4 more
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Strength Predictive Modelling of Soils Treated with Calcium-Based Additives Blended with Eco-Friendly Pozzolans-A Machine Learning Approach. [PDF]
Eyo EU, Abbey SJ, Booth CA.
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Vitruvian binders in Venice: First evidence of Phlegraean pozzolans in an underwater Roman construction in the Venice Lagoon. [PDF]
Dilaria S +7 more
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Towards net zero by data-driven discovery of sustainable cement alternatives. [PDF]
Evans JD.
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