… Adsorption and kinetic studies of using entrapped sewage sludge ash in the removal of
chemical oxygen demand from domestic wastewater, with artificial intelligence approach. Paper …

… the indoor pollutants. Herein, we present a novel ventilation control strategy using artificial
intelligence to rapidly remove … data for use as the input variables for artificial intelligence. The …

… Heavy metals (HMs) has become one of the most serious pollutants that are harmful to
the environment and ecology. This paper focused on the removal of lead contaminant from …

This study was conducted to investigate the removal efficiency of heptachlor from aqueous
solutions using bimetallic iron/copper (Fe/Cu) nanoparticles. The highest removal efficiency …

… The nZVAl material has been evidenced to be effective in removing non-biodegradable
pollutants by generating hydroxyl radicals and sulfate in the aqueous medium [20]. Many …

… to detect the existence of non-point source pollution in source water. SVM identified the
pollution state of point source pollution with 100% accuracy and established the relationship …

… genetic algorithm in prediction of chromium removal with activated carbon. The input
parameters that are generally selected include initial pollutant concentration, adsorbent dosage, pH…

… Therefore, this study developed an EC approach for pollutant removal from greywater. The
… turbidity removal and electrical energy consumption were investigated. Artificial intelligence (…

… by the material was investigated and modeled with artificial intelligence (AI). AI has become
… cost and fast decontaminant to treat organic contaminants in wastewater or other pollutants. …

… Artificial intelligence such as an artificial neural network (ANN) is another method that can
… Thus, this study investigated the removal efficiency of MB from aqueous solution by nZVI. …