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( 2012 ). Prediction of water quality time series data based on least squares support vector machine.\u00a0Procedia Engineering,\u00a031, 1194-1199 . Tan, G., Yan, J., Gao, C., & Yang, S. (2012). Prediction of water quality time series data based on least squares support vector machine.\u00a0Procedia Engineering,\u00a031, 1194-1199."},{"key":"e_1_3_2_1_2_1","volume-title":"Surface water quality modeling by regression analysis and artificial neural network. In\u00a0Advances in waste management,\u00a0215-230","author":"Ahamad K. U.","year":"2019","unstructured":"Ahamad , K. U. , Raj , P. , Barbhuiya , N. H. , & Deep , A. ( 2019 ). Surface water quality modeling by regression analysis and artificial neural network. In\u00a0Advances in waste management,\u00a0215-230 . Springer , Singapore . Ahamad, K. U., Raj, P., Barbhuiya, N. H., & Deep, A. (2019). Surface water quality modeling by regression analysis and artificial neural network. In\u00a0Advances in waste management,\u00a0215-230. 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Water quality prediction using SWAT-ANN coupled approach.\u00a0Journal of Hydrology,\u00a0590, 125220 . Noori, N., Kalin, L., & Isik, S. (2020). Water quality prediction using SWAT-ANN coupled approach.\u00a0Journal of Hydrology,\u00a0590, 125220."},{"key":"e_1_3_2_1_5_1","volume-title":"Prediction of water level and water quality using a CNN-LSTM combined deep learning approach.\u00a0Water,\u00a012(12), 3399","author":"Baek S. S.","year":"2020","unstructured":"Baek , S. S. , Pyo , J. , & Chun , J. A. ( 2020 ). Prediction of water level and water quality using a CNN-LSTM combined deep learning approach.\u00a0Water,\u00a012(12), 3399 . Baek, S. S., Pyo, J., & Chun, J. A. (2020). Prediction of water level and water quality using a CNN-LSTM combined deep learning approach.\u00a0Water,\u00a012(12), 3399."},{"key":"e_1_3_2_1_6_1","volume-title":"Knowledge graph fusion for smart systems: A survey.\u00a0Information Fusion,\u00a061, 56-70","author":"Nguyen H. 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