Artificial intelligence (AI) has emerged as a powerful tool to resolve real-world problems and
has gained tremendous attention due to its applications in various fields. In recent years, AI …

Membrane fouling is one of major obstacles in the application of membrane technologies.
Accurately predicting or simulating membrane fouling behaviours is of great significance to …

Water contaminated by methylene blue (MB) dye was treated with activated carbon based
on locally collected jujube stones. This activated carbon was characterized by physico …

This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …

In the present paper, the Response Surface Methodology (RSM) was evaluated for
optimizing the Hexavalent Chromium (Cr (VI)) removal efficiency using our synthesized …

The adsorption of six heavy metals (lead, cadmium, nickel, arsenic, copper, and zinc) on 44
biochars were modeled using artificial neural network (ANN) and random forest (RF) based …

During the last few years, important advances have been made in big data exploration,
complex pattern recognition and prediction of complex variables. Machine learning (ML) …

Wastewater emerging from the industries containing organic pollutants is a severe threat to
humans' health and aquatic life. Therefore, the degradation of highly poisonous organic dye …

Methylene blue (MB) is a heterocyclic aromatic compound used as a medication or as a
synthetic dye for textiles. Due to its ecotoxicity, researchers have been investigating its …

Artificial neural networks (ANNs) have been widely applied for the prediction of dye
adsorption during the last decade. In this paper, the applications of ANN methods, namely …