The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …

The current research was an effort to critically review all approaches used for membrane
fouling control in the membrane bioreactors treating water and wastewater. The first …

This paper critically reviews all artificial intelligence (AI) and machine learning (ML)
techniques for the better control of membrane fouling in filtration processes, with the focus …

Textile dyeing wastewater was the focus of much research because of its adverse effect on
aquatic biota. In the present research, textile dyeing influent and effluent samples were …

Zinc ion is a toxic metal mostly contained in industrial effluents. To minimize its
contamination levels due to the detrimental effect on both human health, environment and …

Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …

The optimization of biological nitrogen removal (BNR) in sequencing batch reactors has
become the aim of researchers worldwide in order to increase efficiency and reduce energy …

Organophosphate esters (OPEs) pose hazards to both humans and the environment. This
study applied target screening to analyze the concentrations and detection frequencies of …

Wastewater treatment plants (WWTPs) are complex systems that must maintain high levels
of performance to achieve adequate effluent quality to protect the environment and public …

This study evaluates and models the impacts of employing biofilm carriers in sequencing
batch reactors (SBR). A neural network (NN) was used to predict contaminants in the effluent …