Performance Prediction of a Reverse Osmosis Desalination System Using Machine Learning

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ISSN Print: 2327-4336
ISSN Online: 2327-4344
www.scirp.org/journal/gep
E-mail: gep@scirp.org

"Performance Prediction of a Reverse Osmosis Desalination System Using Machine Learning"
written by Divas Karimanzira, Thomas Rauschenbach,
published by Journal of Geoscience and Environment Protection, Vol.9 No.7, 2021

has been cited by the following article(s):

[1]	Prediction of reverse osmosis membrane fouling in water reuse by integrated adsorption and data-driven models
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[2]	Single and ensemble explainable machine learning-based prediction of membrane flux in the reverse osmosis process
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[3]	Application of Machine Learning Algorithm in Financial Market Risk Prediction
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[4]	Advancements in Water Desalination Through Artificial Intelligence: A Comprehensive Review of AI-Based Methods for Reverse Osmosis Membrane Processes
	… Science and Engineering, 2023

[5]	Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control …
	Water Research, 2022

[1]	Influence of membrane characteristics and operational parameters on predictive control of permeance and rejection rate using explainable artificial intelligence (XAI) Next Research, 2025 DOI:10.1016/j.nexres.2024.100100

[2]	International Conference on Innovation, Sustainability, and Applied Sciences Signals and Communication Technology, 2025 DOI:10.1007/978-3-031-68952-9_60

[3]	Prediction of reverse osmosis membrane fouling in water reuse by integrated adsorption and data-driven models Desalination, 2024 DOI:10.1016/j.desal.2024.117353

[4]	Advancements in Water Desalination Through Artificial Intelligence: a Comprehensive Review of AI-Based Methods for Reverse Osmosis Membrane Processes Water Conservation Science and Engineering, 2023 DOI:10.1007/s41101-023-00227-7

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