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Author

Li-Yang Bai

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Open access Sep 2026

Prediction model for compressive strength of alkali-activated multi-source solid-waste grouting materials based on generative adversarial networks and machine learning

An integrated framework of data augmentation, optimized modeling, and interpretable analysis proposed in this study provides reliable data-driven decision support for mix design optimization and engineering application of alkali-activated multi-source solid-waste grouting materials, and offers a novel technical pathway...

Qian-Gang Yue, Guang-Ming Yu, Yong Yao et al. · 0 citations

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