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Machine learning framework for predicting and improving the unconfined compressive strength and california bearing ratio of lateritic soil stabilized with industrial wastes

Crossref DOI link: https://doi.org/10.1007/s43621-025-02366-4

Published Online: 2025-12-04

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

Authors

Sridhar, H. N.

Shiva Kumar, G.

Ramaraju, H. K.

Ujwal, M. S.

Vinay, A.

Pandit, Poornachandra
Funding

Funding for this research was provided by:

Manipal Academy of Higher Education, Manipal
License Information

Text and Data Mining valid from 2025-12-04

Version of Record valid from 2026-01-07
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Article History

Received: 10 September 2025

Accepted: 21 November 2025

First Online: 4 December 2025

Declarations

:

: Not applicable. This study did not involve human participants or animals requiring ethical approval.

: The authors declare no competing interests.

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