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Corrigendum to "A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption" [Chemosphere 349 (2024) 140832].
Salari M, Alahabadi A, Rahmani-Sani A, Miri M, Yazdani-Aval M, Lotfi H, Saghi MH, Rastegar A, Sepehr MN, Darvishmotevalli M. Salari M, et al. Among authors: yazdani aval m. Chemosphere. 2024 May;356:142032. doi: 10.1016/j.chemosphere.2024.142032. Epub 2024 Apr 22. Chemosphere. 2024. PMID: 38653652 No abstract available.
A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption.
Salari M, Alahabadi A, Rahmani-Sani A, Miri M, Yazdani-Aval M, Lotfi H, Saghi MH, Rastegar A, Sepehr MN, Darvishmotevalli M. Salari M, et al. Among authors: yazdani aval m. Chemosphere. 2024 Feb;349:140832. doi: 10.1016/j.chemosphere.2023.140832. Epub 2023 Nov 30. Chemosphere. 2024. PMID: 38042425