M, R., N.F, A., A, M., M.A, M., A.N, A., C.M, F., . . . 57193900045. (2023). Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach. Elsevier Ltd.
Chicago Style (17th ed.) CitationM, Rezaie-Balf, et al. Physicochemical Parameters Data Assimilation for Efficient Improvement of Water Quality Index Prediction: Comparative Assessment of a Noise Suppression Hybridization Approach. Elsevier Ltd, 2023.
MLA (9th ed.) CitationM, Rezaie-Balf, et al. Physicochemical Parameters Data Assimilation for Efficient Improvement of Water Quality Index Prediction: Comparative Assessment of a Noise Suppression Hybridization Approach. Elsevier Ltd, 2023.
Warning: These citations may not always be 100% accurate.