Natural biopolymers, polymeric organic molecules produced by living organisms and/or
renewable resources, are considered greener, sustainable, and eco-friendly materials …

Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

The application of artificial neural network (ANN), response surface methodology (RSM),
and adaptive neuro-fuzzy inference system (ANFIS) in modeling the uptake of Eriochrome …

Wastewater treatment is an important step for pollutant reduction and the promotion of water
environment quality. The complexity of natural conditions, influent shock, and wastewater …

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

Industrial contaminants such as dyes and intermediates are released into water bodies,
making the water unfit for human use. At the same time large amounts of food wastes …

The presence of various forms of heavy metals (HMs)(eg, Cu, Cd, Pb, Zn, Cr, Ni, As, Co, Hg,
Fe, Mn, Sb, and Ce) in water bodies and sediment has been increasing due to industrial and …

It is crucial to reduce the concentration of pollutants in water environment to below safe
levels. Some cost-effective pollutant removal technologies have been developed, among …

The present study reports, novel and greener method for synthesis of gold nanoparticles
(AuNPs) using 5, 7-dihydroxy-6-metoxy-3', 4'methylenedioxyisoflavone (Dalspinin), isolated …

Water pollution occurs mainly due to inorganic and organic pollutants, such as nutrients,
heavy metals and persistent organic pollutants. For the modeling and optimization of …