… in water purification includes common processes, such as coagulation/flocculation, analysis
of source water, disinfection, desalination, and membrane filtration [17]. Intelligent methods …

… treatment process, such as pollutants removal from water [15], [16]. However, still, various
hurdles hinder the applications of AI in water purification. This review provides a critical …

… In this chapter, the various water monitoring systems—internet of-things, wireless network
… of artificial intelligence in water management has the potential to change and manage water …

… With the development of water purification technology and the improvement of people's …
the critical water quality indicators that are often used to judge the degree of water purification in …

… To apply AI in the field of water purification, each feature must be carefully examined to …
The overall aims of AI in the field of water purification include (1) improvement of data quality, (2) …

… (GDBM) as a water purification treatment technology in an open natural … artificial intelligence
in water pollution management for environmental health protection, sustainability and water …

… Accordingly, heterogeneous photocatalysis has been verified to be an effective water
purification technique for water sterilization and eliminating persistent organic contaminants (see …

… tool in artificial intelligence (AI) that can also be referred to as an ANN. An artificial neural …
Here, we discuss different approaches to choosing a novel water purification technique on a …

… machine learning (ML) framework is developed toward target-oriented inverse design of the
electrochemical oxidation (EO) process for water purification… water purification more efficient, …

… by authors to assess and predict photocatalytic pavement’s field efficiency by employing
artificial intelligence models. Both artificial neural network (ANN) and neuro-fuzzy (NF) models …