Performance Prediction of a Reverse Osmosis Desalination System Using Machine Learning

ISSN Print: 2327-4336
ISSN Online: 2327-4344
www.scirp.net/journal/gep
E-mail: [email protected]

Citations

"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):

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[4]	Advancements in Water Desalination Through Artificial Intelligence: A Comprehensive Review of AI-Based Methods for Reverse Osmosis Membrane Processes
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[5]	Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control …
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[5]	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

[6]	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