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, Mehdi and Alahabadi, Ahmad and Rahmani-Sani, Abolfazl and Miri, Mohammad and Yazdani-Aval, Mohsen and Lotfi, Hadi and Saghi, Mohammad Hossien and Rastegar, Ayoob and Noori Sepehr, Mohammad and Darvishmotevalli, Mohammad (2024) 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]. Chemosphere.

Full text not available from this repository.
Item Type: Article
Subjects: R Medicine > R Medicine (General)
Depositing User: Saeed Shoja
Date Deposited: 25 May 2024 07:14
Last Modified: 25 May 2024 07:14
URI: http://eprints.medsab.ac.ir/id/eprint/2624

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