A literature survey was conducted to appraise the recent applications of artifical intelligence
(AI)-based modeling studies in the environmental engineering field. A number of studies on …

Of growing amount of food waste, the integrated food waste and waste water treatment was
regarded as one of the efficient modeling method. However, the load of food waste to the …

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 …

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 …

Currently, the proper utilization of water treatment plants and optimizing their use is of
particular importance. Coagulation and flocculation in water treatment are the common ways …

Uncertainty qualification of estimated biological variables of Tabriz wastewater treatment
plant (WWTP) in Iran, was conducted by artificial intelligence-based modeling. The pollution …

Modelling of anaerobic digestion systems is difficult because their performance is complex
and varies significantly with influent characteristics and operational conditions. In this study …

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 …

Building energy demand response is projected to be important in decarbonizing energy use.
A demand response program that communicates “artificial” hourly price signals to workers …

Wastewater quality modelling plays a vital role in planning and management of wastewater
treatment plants (WWTP). This paper develops a new hybrid machine learning model based …