The excessive inlet of contaminants into water is affecting its quality adversely which is not
recommended for quality health. Therefore, investigating economical, scalable, efficient, and …

This paper aims to present a comprehensive survey on water quality soft-sensing of a
wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We …

The rate of cyanide reduction in the aqueous solutions by adsorption onto the diatomite
magnano composite boosted with alginate polymer beads (DMBA) was evaluated. The R …

Antibacterial substances currently play an important role in human life, but bacteria might
become resistant to them over time, it is always necessary to develop and use a new …

The application of artificial neural networks on adsorption modeling has significantly
increased during the last decades. These artificial intelligence models have been utilized to …

The cost-effective removals of refractory dyes from wastewater have aroused enthusiasm in
environmental protection. Flocculants efficiently separating dyes from water significantly …

The serious threat of environmental microbial contamination to the health of human beings
has drawn wide attentions. In this work, a series of bimetallic Co x Cu y-CAT-1 metal-organic …

Water pollution due to heavy metals has become a universal environmental problem. Ni (II)
is a common heavy metal ion in polluted wastewater, which has high toxicity and …

Cyanide and phenol represent the most hazardous combination of wastewater due to their
synergistic toxicity. The present study investigated the efficacy of a hybrid treatment based …

The detection and prediction of pathogenic microorganisms play a crucial role in the
sustainable development of the aquaculture industry. Currently, researchers mainly focus on …