A comparative study of ensemble machine learning models for compressive strength prediction in recycled aggregate concrete and parametric analysis

Das, Pobithra; Kashem, Abul; Rahat, Jasim Uddin; Karim, Rezaul

doi:10.1007/s41939-024-00409-3

Multiscale and Multidiscip. Model. Exp. and Des.

2024

DOI: 10.1007/s41939-024-00409-3

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A comparative study of ensemble machine learning models for compressive strength prediction in recycled aggregate concrete and parametric analysis

Pobithra Das,

Abul Kashem,

Jasim Uddin Rahat

et al.

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Cited by 4 publications

References 66 publications

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Comparative analysis of intelligent models for predicting compressive strength in recycled aggregate concrete

Ahmed,

Jin,

Ali

2024

Model. Earth Syst. Environ.

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A comparative study of ensemble machine learning models for compressive strength prediction in recycled aggregate concrete and parametric analysis

Cited by 4 publications

References 66 publications

Comparative analysis of intelligent models for predicting compressive strength in recycled aggregate concrete

Comparative analysis of intelligent models for predicting compressive strength in recycled aggregate concrete

Estimation of Compressive Strength of Rubberised Slag Based Geopolymer Concrete Using Various Machine Learning Techniques Based Models

Modeling the global ocean distribution of dissolved cadmium based on machine learning—SHAP algorithm

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