… In the present study, a new approach is presented for dye pollutant removal from synthetic
… (IM), and computational intelligence techniques include different data mining methods and …

… Artificial neural networks (ANNs) are the AI tools frequently adopted to predict the pollutants
removal … This article summarizes the modeling and optimization of pollutants removal …

… have good removal efficiencies against … pollutants of interest, synthetic dyes have been
received recently great attention because they are hardly treatable by conventional methods…

… Removal of dye pollutants requires multiple … methods were implemented to resolve this
constraint; the statistically dependent method and black box approach of artificial intelligence. …

… The findings of the study could provide a logical perspective for improving the adsorptive
removal of water pollutants, and they are likely to be significant for treating waters contaminated …

… of pollutants. Numerous AI models have successfully predicted the performance of different
adsorbents for the removal of numerous pollutants … for the removal of metals, dyes, organic …

… the removal process of dyes. It is important to understand the stochastic and highly redundant
behavior of the process of dye removal (… Numerous dyes and pollutants are present in most …

… with a limited number of HMs, along with nutrients and persistent organic pollutant
removal with a few number of AI models, such as ANN (eg, backpropagation (BP), multilayer …

… ) used hybrid Artificial Neural Network-Genetic Algorithm (ANN-GA) models for the prediction
of Red 195 azo dye removal by sono-Fenton processes. The color removal efficiency was …

… Adsorption is a well-established procedure for the removal of dyes and heavy metals
from … Activated carbon as an adsorbent is well known for the removal of pollutants and …