Wastewater treatment involves the extraction of pollutants, removal of coarse particles, and
elimination of toxicants. Moreover, wastewater treatment kills pathogens and produces bio …

This paper reviews current knowledge on sources, spread and removal mechanisms of
antibiotic resistance genes (ARGs) in microbial communities of wastewaters, treatment …

The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …

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 …

Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

Artificial intelligence (AI) is an emerging powerful novel technology that can model real-time
problems involving numerous intricacies. The modeling capabilities of AI techniques are …

Abstract Globally, 80% of wastewater, among which 28% came from industry, returned to the
ecosystem without treatment or reuse. The discharge of industrial wastewater poses public …

The scarcity of water resources and environmental pollution have highlighted the need for
sustainable wastewater treatment. Existing conventional treatment systems are energy …

In order to use environmental models effectively for management and decision-making, it is
vital to establish an appropriate level of confidence in their performance. This paper reviews …

In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …