Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
The present research employs new boosting-based ensemble machine learning models i.e., gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined compressive strength (UCS) of geopolymer stabilized clayey soil. The GB and AdaBoost models were developed and validated using 270...
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Nature Research
2025
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