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 …

Water pollution is a severe health concern. Several studies have recently demonstrated the
efficacy of various approaches for treating wastewater from anthropogenic activities …

Deep neural networks have been regarded as accurate models to predict complex
fermentation processes due to their capacity to learn from a high number of data sets via …

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 …

Proper pH control is important to the neutralization of industrial wastewater that will facilitate
downstream biological treatment and can strongly affect the utilization of chemical …

Wastewater treatment is a complex process that involves many uncertainties, leading to
fluctuations in effluent quality and costs, and environmental risks. Artificial intelligence (AI) …

Innovation in decarbonizing wastewater treatment is urgent in response to global climate
change. The practical implementation of anaerobic ammonium oxidation (anammox) …

Precisely predicting the concentration of nitrogen-based pollutants from the wastewater
treatment plants (WWTPs) remains a challenging yet crucial task for optimizing operational …

Reclaimed water reuse is a promising strategy for addressing water scarcity; however, its
potential ecological impact remains largely unknown. In particular, the differential effects of …

Oxytetracycline (OTC) is widespread in the environment, posing potential ecological health
risks. This work aimed to develop a bioremediation system that can biotransform and …