Water quality has a crucial impact on human health; therefore, water quality index modeling
is one of the challenging issues in the water sector. The accurate prediction of water quality …

The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …

Accurate simulation of wastewater effluent parameters is a vital concern to reduce the
operational costs of a wastewater treatment plant. In this way, a reliable predictive model is a …

This work assesses the effectiveness of an artificial intelligence (AI) model based on an
artificial neural networks (ANN)–genetic algorithm (GA) in the prediction of the behavior and …

Considering the exponential growth of today's industry and the wastewater results of its
processes, it needs to have an optimal treatment system for such effluent waters to mitigate …

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 …

The paper presented the methodology for the construction of a soft sensor used for activated
sludge bulking identification. Devising such solutions fits within the current trends and …

Sludge bulking is an operational hurdle that affects the solid–liquid separation in wastewater
treatment plants (WWTPs) worldwide. In this study, filamentous bulking issues were …

Tip clearance is a crucial aspect of turbomachines in terms of aerodynamic and thermal
performance. A gap between the blade tip surface and the stationary casing must be …

To predict the effluent ammonia nitrogen (NH 4-N) of wastewater treatment process (WWTP),
the soft computing methods are widely used, in which the mean square error (MSE) is …