… 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 …

… In view of AI widely used in environmental pollutants clean-ups, this paper will focus on
the simulation, prediction, optimization and intelligent control of pollutant removal in the …

… machine learning (ML) algorithms. This article provides a review of important investigation
studies on pollutants removal … in this study revealed that Machine learning (ML) presents a …

… HM removal in nature is highly stochastic, nonlinear, … of artificial intelligence (AI) models
for HM removal has been … use of such models for HM removal simulation. The selection of …

… solutions to water pollution and water … of pollutants. Numerous AI models have successfully
predicted the performance of different adsorbents for the removal of numerous pollutants …

… Based on their study, Neural-fuzzy and ANN-GA were the most used hybrid models in the
prediction and optimization of the removal of conventional pollutants, typical heavy metals, …

… trace the origins of water pollutants. In this study, an artificial intelligence system called the
integrated long … These values were removed to prevent them affecting the results. The main …

… discusses water pollution classification … removal efficiency using artificial intelligence while
maintaining the same adsorption circumstances. This is necessary to anticipate the removal …

… pollution management, vis-à-vis six major aspects of advanced technologies and the use of
artificial intelligence … technology to effectively remove pollutants from affected water bodies. …

… organics removal using ANN and hybrid intelligent systems. … have enhanced the pollutant
removal percentage accuracy of … with due focus on pollution remediation, cost effectiveness, …