Comparison of statistical methods to predict fouling propensity of microfiltration membranes for drinking water treatment-Reference-Cited by-同舟云学术

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Comparison of statistical methods to predict fouling propensity of microfiltration membranes for drinking water treatment

Published:2019 Issue: Volume:143 Page:7-16
ISSN:
Container-title:DESALINATION AND WATER TREATMENT
language:
Short-container-title:DWT

Author:

Ju Jaehyun,Park Youngkyu,Choi Yongjun,Lee Sangho

Publisher

Desalination Publications

Cited by 6 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. Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects;Water Science & Technology;2024-07-26

2. Deployment of interpretable machine learning in a water treatment device - feasibility exploration of performance enhancement;Journal of Water Process Engineering;2024-02

3. Operational parameter prediction of electrocoagulation system in a rural decentralized water treatment plant by interpretable machine learning model;Journal of Environmental Management;2023-05

4. A Non-Hybrid Data-Driven Fuzzy Inference System for Coagulant Dosage in Drinking Water Treatment Plant: Machine-Learning for Accurate Real-Time Prediction;Water;2023-03-15

5. Preparation of Polyvinyl Chloride/ZnO Composite Ultrafiltration Membrane for Peat Water Treatment;Journal of Physics: Conference Series;2021-02-01

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