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    Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

    Published 2025
    “…Notably, the RF model achieved an R2 score of 91% for GWP and 97% for CO2 emission, demonstrating superior predictive accuracy compared to the DT approach.The findings demonstrate the effectiveness of these machine learning techniques in enhancing the sustainability of construction practices,offering a pathway for informed decision-making. …”
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