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 …

Can machine language and artificial intelligence revolutionize process automation for water treatment and desalination?

S Al Aani, T Bonny, SW Hasan, N Hilal - Desalination, 2019 - Elsevier
Artificial intelligence (AI) is a powerful tool that is commonly applied in engineering multi-
disciplines owing to its functionality to resolve real-world problems where deterministic …

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 …

[HTML][HTML] Ceramic microfiltration membranes in wastewater treatment: filtration behavior, fouling and prevention

MW Hakami, A Alkhudhiri, S Al-Batty, MP Zacharof… - Membranes, 2020 - mdpi.com
Nowadays, integrated microfiltration (MF) membrane systems treatment is becoming widely
popular due to its feasibility, process reliability, commercial availability, modularity, relative …

Artificial neural network modeling and response surface methodology of desalination by reverse osmosis

M Khayet, C Cojocaru, M Essalhi - Journal of Membrane Science, 2011 - Elsevier
Response surface methodology (RSM) and artificial neural network (ANN) have been used
to develop predictive models for simulation and optimization of reverse osmosis (RO) …

Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models

GB Sahoo, SG Schladow, JE Reuter - Journal of hydrology, 2009 - Elsevier
Stream water temperature is considered both a dominant factor in determining the
longitudinal distribution pattern of aquatic biota and as a general metabolic indicator for the …

Experimental investigation, modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm

R Soleimani, NA Shoushtari, B Mirza… - … engineering research and …, 2013 - Elsevier
In this work, treatment of oily wastewaters with commercial polyacrylonitrile (PAN)
ultrafiltration (UF) membranes was investigated. In order to do these experiments, the outlet …

Application of radial basis function artificial neural network to quantify interfacial energies related to membrane fouling in a membrane bioreactor

Y Chen, G Yu, Y Long, J Teng, X You, BQ Liao… - Bioresource …, 2019 - Elsevier
Efficient quantification of interfacial energy related with membrane fouling represents the
primary interest in membrane bioreactors (MBRs) as interfacial energy determines foulant …