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Interpretable Machine Learning Approaches for Predicting Compressive Strength in FRP Confined Concrete: Exploring MEP and GEP Techniques

Syed Jamal Haider Hassan

Interpretable Machine Learning Approaches for Predicting Compressive Strength in FRP Confined Concrete: Exploring MEP and GEP Techniques - Syn-27 CED-97 - Risalpur, MCE, 2025. - 107 pages.


Structural Engineering

P-1063
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