Optimization and predictive modeling of membrane based produced water treatment using machine learning models-Reference-Cited by-同舟云学术

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Optimization and predictive modeling of membrane based produced water treatment using machine learning models

Published:2024-07 Issue: Volume:207 Page:65-76
ISSN:0263-8762
Container-title:Chemical Engineering Research and Design
language:en
Short-container-title:Chemical Engineering Research and Design

Author:

Saddiqi Hasnain Ahmad,Javed Zainab,Ali Qazi Muhammad,Ullah Asmat^ORCID

Funder

Higher Education Commission Pakistan

Publisher

Elsevier BV

Reference59 articles.

1. An overview on the progress in produced water desalination by membrane-based technology;Abounahia;J. Water Process Eng.,2023

2. Neural network modelling of non-linear hydrological relationships;Abrahart;Hydrol. Earth Syst. Sci.,2007

3. Using machine learning to focus iterative optimization;Agakov;Proc. CGO 2006 - 4th Int. Symp. Code Gener. Optim.,2006

4. Various natural and anthropogenic factors responsible for water quality degradation: a review;Akhtar;Water,2021

5. Optimization study for treatment of acid mine drainage using membrane technology;Al-Zoubi;Sep. Sci. Technol.,2010

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. Bayesian optimization-based XGBoost for performance Prediction of Carbon Nanotube Membranes;2024-07-01

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