Globally, wastewater management is a major issue. Using AI has improved treatment facility
design and efficacy. AI techniques for wastewater treatment, such as pollutant identification …

Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …

Expectation of wastewater quality in wastewater treatment plants (WWTPs) is significant and
can decrease the sampling number, cost, decision time, and energy. This paper presents …

An innovative predictive model was employed to predict the key performance indicators of a
full-scale wastewater treatment plant (WWTP) operated with an activated sludge treatment …

Sewage treatment plants (STPs) keep sewage contamination within safe levels and
minimize the risk of environmental disasters. To achieve optimum operation of an STP, it is …

Common effluent treatment plants (CETPs) are used to collectively treat the effluents
generated from different types of manufacturing industries of an industrial cluster before …

This research focuses on applying artificial neural networks with nonlinear transformation
(ANNs) models to predict the performance of wastewater treatment plant (WWTP) processes …

Common effluent treatment plants (CETPs) have been installed and are in operation at
numerous industrial clusters throughout India. They serve to reduce effluent treatment cost …

This paper is concerned with the use of artificial neural network and multiple linear
regression (MLR) models for the prediction of three major water quality parameters in the …

The function of a sewage treatment plant is to treat the sewage to acceptable standards
before being discharged into the receiving waters. To design and operate such plants, it is …