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. 2022 Jul 8;1(2):107–116. doi: 10.1016/j.eehl.2022.06.001

Fig. 2.

Fig. 2

Applications of different machine learning algorithms in different water treatment and management systems. SVM, support vector machine; RF, random forest; ANN, artificial neural network; SOM, self-organizing map; DT, decision tree; PCA, principal component analysis; XGBoost, extreme gradient boosting; DO, dissolved oxygen; MP, micropollutant.