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Predictive modeling of Atterberg's limits of soil passing through sieve #40 and #200 using artificial neural networks and multivariate regression: advancing sustainable construction practices

Crossref DOI link: https://doi.org/10.1007/s41939-024-00560-x

Published Online: 2024-08-03

Published Print: 2024-11

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

Authors

Qamar, Sana Ullah https://orcid.org/0000-0001-7821-9959
Alshameri, Badee https://orcid.org/0000-0003-1792-0770
Hassan, Waqas https://orcid.org/0000-0002-6205-929X
Maqsood, Zain

Haider, Abbas
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Text and Data Mining valid from 2024-08-03

Version of Record valid from 2024-08-03
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Article History

Received: 6 April 2024

Accepted: 25 July 2024

First Online: 3 August 2024

Declarations

:

: The authors declare that there is no conflict of interest regarding the publication of this article.

: The work titled "Predictive Modeling of Atterberg's Limits of Soil passing through Sieve #40 and #200 using Artificial Neural Networks and Multivariate Regression: Advancing Sustainable Construction Practices " has not been published elsewhere, in part, or another form.

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