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Saqib Iqbal

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Open access Aug 2026

Machine Learning for Alkali-Activated Concrete: Feature Attribution, Strength–Carbon Relationships, and the Limits of Out-of-Campaign Generalisation

Machine learning (ML) models for alkali-activated concrete (AAC) are almost universally evaluated with random train–test splits, yet the literature-compiled datasets are strongly clustered by source study, and the reliability of such evaluations has rarely been quantified. The novelty of this study is a systematic quan...

F. Pacheco-Torgal, Saqib Iqbal · 0 citations

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