CatBoost

CatBoost AI Model Hits 98.8% (R2) Accuracy in Predicting Water-Cleaning Biochar Performance
Optimized Biochar from Tea Waste Achieves 82.66% Pollutant Removal, With RNN Model Predicting Performance at an R2 of 0.960
Harnessing Machine Learning to Predict CO2 Adsorption in Biochar: SVR and CatBoost Models Achieve 93% Accuracy
Predicting Ammonia Removal with Biochar: A Machine Learning Approach