The increasing worldwide demand for freshwater production requires new and sustainable
processes to overcome the shortage of clean water. Reverse osmosis (RO) is regarded as …

In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …

AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

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

In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve
practical problems, has attracted much attention and has been widely used in various areas …

This study offers a review of machine learning (ML) applications in membrane bioreactor
(MBR) systems, an emerging technology in advanced wastewater treatment. The review …

A reliable and practical determination of a chemical species' solubility in water continues to
be examined using empirical observations and exhaustive experimental studies alone …

Membrane fouling is one of the major obstacles that hinder the widespread applications of
anerobic membrane bioreactors (AnMBRs) for wastewater treatment. Due to the intrinsic …

A key challenge is to produce the uniform morphology and regular pore design of inorganic
hollow fiber membranes (HFMs) due to involvement of multiple parameters including …

Membrane-based separation processes has been recently of significant global interest
compared to other conventional separation approaches due to possessing undeniable …