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 …

Membrane fouling is a major hurdle to effective pressure-driven membrane processes, such
as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO) …

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 …

Compared to the traditional activated sludge process, the membrane bioreactor (MBR) has
several advantages such as the production of high-quality effluent, generation of low excess …

Both the blocking laws and ANNs models have been used frequently in membrane filtration
process in recent years. However, specially applying these models in constant flowrate …

Membrane bioreactors (MBRs) have proven to be an extremely effective wastewater
treatment process combining ultrafiltration with biological processes to produce high-quality …

In this study, artificial neural network (ANN) models were applied to predict the performance
of microfiltration (MF) system for water treatment. A series of bench scale experiments were …

Mathematical models have been developed to obtain a better understanding of membrane
fouling mechanisms. However, those models could not simulate the membrane fouling …

In this work, a novel approach combining first principle equation of Darcy's law on cake
filtration and artificial neural network (ANN) predictive models were utilized to represent the …

The offshore oil and gas industry is experiencing increasing water cuts as the reservoirs
mature. The increase in produced water stresses the currently deployed deoiling …