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

Abstract Machine learning (ML) is a data-driven approach that can be applied to design,
analyze, predict, and optimize a process based on existing data. Recently, ML has found its …

Efforts are currently in progress to commercialize membrane bioreactor (MBR) technologies
already developed at laboratory and pilot scale. To attain this goal, the efficiency of MBRs …

Biological wastewater treatment using algae–bacteria consortia for nutrient uptake and
resource recovery is a 'paradigm shift'from the mainstream wastewater treatment process to …

Membrane bioreactor (MBR) systems are one of the most widely used wastewater treatment
processes for various municipal and industrial waste streams. The present study aimed to …

In recent years, membrane technologies are widely utilized in water and wastewater
treatment processes. However, controlling and improving these systems still need to be …

Membrane fouling is the primary obstacle to applying anaerobic membrane bioreactors
(AnMBRs) in municipal wastewater treatment. This issue holds critical significance as …

Membrane fouling is a major concern for the optimization of membrane bioreactor (MBR)
technologies. Numerous studies have been led in the field of membrane fouling control in …

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

Despite the widespread application and plentiful benefits of membrane bioreactors (MBR),
this technology is constrained by membrane fouling, which is regarded as the most serious …