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Иш: Predictive modeling for compressive strength of blended cement concrete using hybrid machine learning models

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Performance comparison of cement replacing materials in concrete: Limestone fillers and supplementary cementing materials – A review
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Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques
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Assessment of artificial neural network and genetic programming as predictive tools
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Predictive modeling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners
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Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials
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Long-term mechanical and durability properties of recycled aggregate concrete prepared with the incorporation of fly ash
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Physical properties and mechanical behaviour of concrete made with recycled aggregates and fly ash
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Carbon dioxide reduction potential in the global cement industry by 2050
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High-temperature behaviour of basalt fibre reinforced concrete made with recycled aggregates from earthquake waste
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Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand
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