Artificial neural networks (ANN) models were developed to predict the performance of a
wastewater treatment plant (WWTP) based on past information. The data used in this work …

A reliable model for any wastewater treatment plant is essential in order to provide a tool for
predicting its performance and to form a basis for controlling the operation of the process …

A reliable model for any Wastewater Treatment Plant WWTP is essential in order to provide
a tool for predicting its performance and to form a basis for controlling the operation of the …

Climatic parameters influence CO 2 emissions and the complexity of the relationship is not
fully captured in biophysical models. Machine learning (ML) is now being applied to …

The paper describes linear and nonlinear modeling of the wastewater data for the
performance evaluation of an up-flow anaerobic sludge blanket (UASB) reactor based …

Indicator microorganisms are monitored in agricultural waters to foster produce safety.
Various prediction models are used to estimate the population of indicator microorganisms …

To control stormwater pollution effectively, development of innovative, land-use-related
control strategies will be required. An approach that could differentiate land-use types from …

In this study, modelling of Konya wastewater treatment plant was studied by using artificial
neural network with different architectures in Matlab software. All data were obtained from …

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 purpose of this study was to evaluate the performance of artificial intelligence tools for
the prediction of Salmonella presence and absence in agricultural surface waters based on …