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 occurs mainly due to inorganic and organic pollutants, such as nutrients,
heavy metals and persistent organic pollutants. For the modeling and optimization of …

Vertical flow constructed wetlands for wastewater and sludge treatment represent a
relatively new and still growing technology. Vertical Flow Constructed Wetlands is the first …

Municipal wastewater treatment in Mashhad, Iran, became increasingly concerned with
removing hazardous organic matter. Granular activated carbon (GAC) units downstream are …

This paper examined the efficiency of multivariate linear regression (MLR) and artificial
neural network (ANN) models in prediction of two major water quality parameters in a …

An accurate prediction of water quality (WQ) related parameters is considered as pivotal
decisive tool in sustainable water resources management. In this study, five different …

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

Artificial intelligence (AI) is nowadays an upcoming technology. It is a practice of simulating
human intelligence for varied applications. When compared with the standard practices, AI is …

Dissolved oxygen (DO) is one of the most important water quality factors. Maintaining the DO
concentration at a desired level is of great value to both wastewater treatment plants …

The energy-demanding paradigm for biomass consumption during wastewater treatments
threatens cleaner productive ecosystems. The constructed wetlands (CWs) technology has …