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

Ahmed, Amira Hamdy Ali; Jin, Wu; Ali, Mosaad Ali Hussein

doi:10.1007/s40808-024-02063-7

Model. Earth Syst. Environ.

2024

DOI: 10.1007/s40808-024-02063-7

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

Amira Hamdy Ali Ahmed,

Wu Jin,

Mosaad Ali Hussein Ali

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Application of Advanced Machine Learning Models for Uplift and Penetration Resistance in Clay-Embedded Dual Interfering Pipelines

Kumar,

Wipulanusat,

Keawsawasvong

2024

Model. Earth Syst. Environ.

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Application of Advanced Machine Learning Models for Uplift and Penetration Resistance in Clay-Embedded Dual Interfering Pipelines

Kumar,

Wipulanusat,

Keawsawasvong

2024

Model. Earth Syst. Environ.

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

Cited by 1 publication

References 79 publications

Application of Advanced Machine Learning Models for Uplift and Penetration Resistance in Clay-Embedded Dual Interfering Pipelines

Application of Advanced Machine Learning Models for Uplift and Penetration Resistance in Clay-Embedded Dual Interfering Pipelines

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