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 …

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 …

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 …

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

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

Artificial intelligence (AI) is an emerging powerful novel technology that can model real-time
problems involving numerous intricacies. The modeling capabilities of AI techniques are …

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 …

In this work, treatment of oily wastewaters with commercial polyacrylonitrile (PAN)
ultrafiltration (UF) membranes was investigated. In order to do these experiments, the outlet …

This study aims at indicating the capability of a state-of-the-art computational intelligence
approach for predicting pseudosteady flux and pseudosteady fouling at different operating …