Predicting the compressive strength of fiber-reinforced self-consolidating concrete using a hybrid machine learning approach

Alahmari, Turki S.; Ashraf, Jawad; Sobuz, Md. Habibur Rahman; Uddin, Md. Alhaz

doi:10.1007/s41062-024-01751-8

Innov. Infrastruct. Solut.

2024

DOI: 10.1007/s41062-024-01751-8

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Predicting the compressive strength of fiber-reinforced self-consolidating concrete using a hybrid machine learning approach

Turki S. Alahmari,

Jawad Ashraf,

Md. Habibur Rahman Sobuz

et al.

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Predicting the compressive strength of fiber-reinforced self-consolidating concrete using a hybrid machine learning approach

Cited by 4 publications

References 45 publications

An explainable machine learning model for encompassing the mechanical strength of polymer-modified concrete

An explainable machine learning model for encompassing the mechanical strength of polymer-modified concrete

Integrating Blockchain Innovation: A Sustainable Adoption Model for Business

IoT-Enabled RFID in Supply Chain Management: A Comprehensive Survey and Future Directions

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