Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review

C Niu, X Li, R Dai, Z Wang - Water Research, 2022 - Elsevier
Membrane fouling is one of major obstacles in the application of membrane technologies.
Accurately predicting or simulating membrane fouling behaviours is of great significance to …

Artificial neural network modeling of wastewater treatment and desalination using membrane processes: A review

J Jawad, AH Hawari, SJ Zaidi - Chemical Engineering Journal, 2021 - Elsevier
The freshwater scarcity is causing a major challenge due to the growing global population.
The brackish water and seawater are the biggest sources of water on the planet. Therefore …

Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

L Li, S Rong, R Wang, S Yu - Chemical Engineering Journal, 2021 - Elsevier
Because of its robust autonomous learning and ability to address complex problems,
artificial intelligence (AI) has increasingly demonstrated its potential to solve the challenges …

[HTML][HTML] Sustainability assessment of organic solvent nanofiltration: from fabrication to application

G Szekely, MF Jimenez-Solomon, P Marchetti… - Green …, 2014 - pubs.rsc.org
Can Organic Solvent Nanofiltration (OSN) be considered green? Is OSN greener than other
downstream processing technologies? These are the two main questions addressed …

Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review

M Bagheri, A Akbari, SA Mirbagheri - Process Safety and Environmental …, 2019 - Elsevier
This paper critically reviews all artificial intelligence (AI) and machine learning (ML)
techniques for the better control of membrane fouling in filtration processes, with the focus …

Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques

L Corominas, M Garrido-Baserba, K Villez… - … modelling & software, 2018 - Elsevier
The aim of this paper is to describe the state-of-the art computer-based techniques for data
analysis to improve operation of wastewater treatment plants. A comprehensive review of …

[HTML][HTML] A review on membrane fouling prediction using artificial neural networks (ANNs)

WH Abuwatfa, N AlSawaftah, N Darwish, WG Pitt… - Membranes, 2023 - mdpi.com
Membrane fouling is a major hurdle to effective pressure-driven membrane processes, such
as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO) …

Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor

S Waqas, NY Harun, U Arshad, AM Laziz, SLS Mun… - Chemosphere, 2024 - Elsevier
Membrane fouling is a critical bottleneck to the widespread adoption of membrane
separation processes. It diminishes the membrane permeability and results in high …

Modeling of forward osmosis process using artificial neural networks (ANN) to predict the permeate flux

J Jawad, AH Hawari, S Zaidi - Desalination, 2020 - Elsevier
Artificial neural networks (ANN) are black box models that are becoming more popular than
transport-based models due to their high accuracy and less computational time in …

[HTML][HTML] SVM and ANN modelling approach for the optimization of membrane permeability of a membrane rotating biological contactor for wastewater treatment

S Waqas, NY Harun, NS Sambudi, U Arshad… - Membranes, 2022 - mdpi.com
Membrane fouling significantly hinders the widespread application of membrane
technology. In the current study, a support vector machine (SVM) and artificial neural …