Oliveira, R.M.; Campos, D.; Bicalho, K.V.; Macêdo, B.d.S.; Bodini, M.; Saporetti, C.M.; Goliatt, L.
AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data. Forecasting 2025, 7, 80.
https://doi.org/10.3390/forecast7040080
AMA Style
Oliveira RM, Campos D, Bicalho KV, Macêdo BdS, Bodini M, Saporetti CM, Goliatt L.
AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data. Forecasting. 2025; 7(4):80.
https://doi.org/10.3390/forecast7040080
Chicago/Turabian Style
Oliveira, Romulo Murucci, Deivid Campos, Katia Vanessa Bicalho, Bruno da S. Macêdo, Matteo Bodini, Camila Martins Saporetti, and Leonardo Goliatt.
2025. "AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data" Forecasting 7, no. 4: 80.
https://doi.org/10.3390/forecast7040080
APA Style
Oliveira, R. M., Campos, D., Bicalho, K. V., Macêdo, B. d. S., Bodini, M., Saporetti, C. M., & Goliatt, L.
(2025). AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data. Forecasting, 7(4), 80.
https://doi.org/10.3390/forecast7040080