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Data-driven Models for Predicting Compressive Strength of 3D-printed Fiber-Reinforced Concrete using Interpretable Machine Learning Algorithms — Muhammad Arif (2024) | RDL Network
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Data-driven Models for Predicting Compressive Strength of 3D-printed Fiber-Reinforced Concrete using Interpretable Machine Learning Algorithms
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Aissa Rezzoug
Al-Imam Mohamed Ibn Saud Islamic University
Data-driven Models for Predicting Compressive Strength of 3D-printed Fiber-Reinforced Concrete using Interpretable Machine Learning Algorithms
Article
2024
en
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+6 more
MA
Muhammad Arif
FJ
Faizullah Jan
Aissa Rezzoug
Al-Imam Mohamed Ibn Saud Islamic University
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