Enhancing unconfined compressive strength of stabilized soil with lime and cement prediction through a robust hybrid machine learning approach utilizing Naive Bayes Algorithm
The unconfined compressive strength (UCS) of stabilized soil with lime and cement is a crucial mechanical factor in developing accurate geomechanical models. In the past, determining UCS required laborious laboratory testing of core samples or complex well-log analysis, both of which consumed many r...
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| Published in: | Journal of engineering and applied science (Online) Vol. 71; no. 1; pp. 84 - 23 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2024
Springer Nature B.V SpringerOpen |
| Subjects: | |
| ISSN: | 1110-1903, 2536-9512 |
| Online Access: | Get full text |
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