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Machine learning prediction of compressive strength in 3d printed fiber reinforced concrete using support vector regression and artificial neural networks with shapley additive explanations

Crossref DOI link: https://doi.org/10.1038/s41598-026-58697-3

Published Online: 2026-06-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Abdellatief, Mohamed

Saqr, Ahmed M. https://orcid.org/0000-0002-3458-1208
Funding

Funding for this research was provided by:

Mansoura University
License Information

Text and Data Mining valid from 2026-06-25

Version of Record valid from 2026-06-25
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Article History

Received: 20 April 2026

Accepted: 16 June 2026

First Online: 25 June 2026

Declarations

:

: The authors declare no competing interests.

: The manuscript has not been submitted to any other journal. The proposed work is original and has not been published anywhere else.

: The authors declare that they have consent to participate in this paper.

: The authors declare that they have consent to publish in this journal.

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