Optimizing biochar yield and composition prediction with ensemble machine learning models for sustainable production
Biochar production from organic waste can reduce fossil fuel reliance and combat climate change, but current models are computationally demanding and have limited accuracy. The study creates four machine learning models using multiple linear regression, decision trees, Adaboost regressors, and baggi...
| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Elsevier
2025-01-01
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| Serie: | Ain Shams Engineering Journal |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S2090447924005902 |