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 …

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 …

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 article provides an overview of recent developments and the published literature in
membrane technology with regard to fruit juice processing and considers the impact of such …

An experimental based artificial neural network (ANN) model is constructed to describe the
performance of air gap membrane distillation process for different operating conditions. The …

The use of membrane technology for produced oily water treatment has become an active
area of research for both academia and industry. The search for membranes with enhanced …

Membrane fouling can cause severe flux drops and affect the quality of produced water,
which is a major obstacle for membrane applications. Great efforts have been made to …

Robust artificial neural network (ANN) was developed based on experimental data to predict
dehydration of isopropanol by means of novel PVA–APTEOS/TEOS nanocomposite …

This paper describes the effect of simultaneous upward and downward aeration on the
membrane fouling and process performances of a submerged membrane bioreactor. Trans …

In this work, a three-layer artificial neural network (ANN) optimized by response surface
methodology (RSM) was designed to predict the permeate flux of red plum juice during …