… artificial neural networks (ANNs), a type of supervised machine learning algorithm, that can
be used for membrane … widely used for fouling prediction in membrane filtration systems. …

… AI algorithms (eg, artificial neural networks, fuzzy logic, genetic … ) for prediction of membrane
fouling. The working principles … membrane fouling of different membrane filtration systems in …

… machine learning technologies in the fields of source water quality, coagulation/flocculation,
disinfection and membrane filtration… by-products and advanced control of membrane fouling. …

… However, there are still some barriers limit the application of … artificial intelligence (AI)-based
models for the early prediction of OMBR system performance in order to increase the system …

… In this article, a membrane fouling control with the aid of a specific AI tool regarding a water
treatment industrial plant application is explained and discussed (Fig. 2 shows an increasing …

… technology is widely used. Membrane fouling is one of the serious problems resulting in
high flux decline and energy consumption. Membrane fouling can be controlled by considering …

… membrane technologies and filtration processes using AI techniques are discussed in this
paper. Membrane fouling … to creating AI enhanced membrane filtration systems and reactors. …

… Membrane fouling behaviour in filtration processes is complex and hard to understand, and
… membrane filtration system using hybrid response surface methodology-artificial intelligent. …

… challenge of membrane fouling, hindering their widespread application. … Advanced control
of membrane fouling in filtration systems using artificial intelligence and machine learning …

… This may be because water flux is the major and final purpose of all membrane filtration
systems. In contrast, membrane fouling is likely to attract the lowest attention in predictions using …