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Geophysical, geotechnical and mineralogical characterization of subgrades: implication for pavement stability and machine learning prediction: a case study

Crossref DOI link: https://doi.org/10.1007/s42452-025-07415-1

Published Online: 2025-10-09

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

Authors

Obasaju, Daniel Opemipo

Oloruntola, Moroof Olasunbo

Oladele, Sunday

Ojekunle, Victor

Baiyegunhi, Christopher

Cosmas, Christopher
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Text and Data Mining valid from 2025-10-09

Version of Record valid from 2025-10-09
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Article History

Received: 1 October 2024

Accepted: 27 June 2025

First Online: 9 October 2025

Declarations

:

: This study was conducted in accordance with ethical standards and guidelines.

: The author declare that this manuscript does not contain any personal data or sensitive information that requires consent for publication.

: The authors declare no competing interests.

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