Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective-Reference-Cited by-同舟云学术

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Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective

Published:2024-08 Issue: Volume:362 Page:142860
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Ibrahim Muhammad,Haider Adnan,Lim Jun Wei,Mainali Bandita,Aslam Muhammad,Kumar Mathava,Shahid Muhammad Kashif^ORCID

Publisher

Elsevier BV

Reference190 articles.

1. Effluent prediction of chemical oxygen demand from the wastewater treatment plant using artificial neural network application;Abba;Procedia Comput. Sci.,2017

2. Permeate flux control in SMBR system by using neural network internal model control;Abdul Wahab;Processes,2020

3. Oily wastewater treatment: overview of conventional and modern methods, challenges, and future opportunities;Abuhasel;Water,2021

4. Fuzzy inference optimization algorithms for enhancing the modelling accuracy of wastewater quality parameters;Abunama;J. Environ. Manag.,2021

5. A Review on membrane fouling prediction using artificial neural networks (ANNs);Abuwatfa;Membranes,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application and innovation of artificial intelligence models in wastewater treatment;Journal of Contaminant Hydrology;2024-11

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