A model has been developed that takes into account the main characteristics of
(submerged) rapid filtration: the water quality parameters of the influent water, notably pH …

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 …

A MIMO (multiple inputs and multiple outputs) fuzzy-logic-based model was developed to
predict biogas and methane production rates in a pilot-scale 90-L mesophilic up-flow …

Tool wear detection is a key issue for tool condition monitoring. The maximization of useful
tool life is frequently related with the optimization of machining processes. This paper …

Oil composition and properties including density, viscosity, asphaltene, saturate, aromatics
and resin contents are responsible factors for the formation of water-in-crude-oil emulsions …

We propose a new method for spatio-temporal modeling of the ionospheric total electron
content (TEC) at severe solar activity periods using a support vector machine (SVM). Using …

This study has proposed and empirically tested two Adaptive Neuro-Fuzzy Inference System
(ANFIS) models for the first time for predicting Australia's domestic low cost carriers' demand …

Performing anaerobic digestion is affected by different slurry properties, and its optimization
poses many practical constraints. In high-dimensional input parameters with small sample …

As the pollution from textile wastewater amount increases each year, discharge threshold
values are reduced by regulations in order to limit receptor mass loading. This situation …

Soft computing has been extensively studied and applied in the last three decades for
scientific research and engineering computing. In environmental engineering, researchers …