Machine learning-based modeling and prediction of methanol production via integrated co-gasification of polymer waste and rice husk
Co-gasification of rice husk and polymer waste presents a sustainable pathway for methanol production, addressing waste management challenges while supporting renewable energy demand. This study applies ensemble machine learning models like Extreme Gradient Boosting (XGBoost), Gradient Boosting Regressor (GBR), and Ran...