Interpretable Machine Learning for UHPC Flexural Strength: Integrating Prediction, Uncertainty Quantification, and Feature Attribution

Quick facts

Author

Jia Chen, Zhicheng Liao, Jianbo Huang ref

Published

2026 ref

Publisher

Tech Science Press ref

Journal

Structural Durability & Health Monitoring ref

DOI

10.32604/sdhm.2026.086932 ref

Questions

Who wrote Interpretable Machine Learning for UHPC Flexural Strength: Integrating Prediction, Uncertainty Quantification, and Feature Attribution?

Interpretable Machine Learning for UHPC Flexural Strength: Integrating Prediction, Uncertainty Quantification, and Feature Attribution was written by Jia Chen, Zhicheng Liao, Jianbo Huang.

When was Interpretable Machine Learning for UHPC Flexural Strength: Integrating Prediction, Uncertainty Quantification, and Feature Attribution first published?

Interpretable Machine Learning for UHPC Flexural Strength: Integrating Prediction, Uncertainty Quantification, and Feature Attribution was first published in 2026.

Sources

1. Publisher record (DOI, via Crossref)

Last updated 4 November 2026 · facts checked 4 November 2026

Cite this page

"Interpretable Machine Learning for UHPC Flexural Strength: Integrating Prediction, Uncertainty Quantification, and Feature Attribution". DigiNepal. Last updated 4 November 2026. https://diginpl.com/books/paper-sdhm-2026-086932. Retrieved 14 November 2026.

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