Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction
Measuring rock strength using an uniaxial testing machine is destructive and costly, requiring high-quality rock samples. This work suggests an alternate approach that makes use of machine learning techniques to predict uniaxial compressive strength (UCS). The input parameters for this investigation...
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| Main Authors: | Tanveer Alam Munshi, Khanum Popi, Labiba Nusrat Jahan, M. Farhad Howladar, Mahamudul Hashan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Applied Computing and Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590197425000588 |
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