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

Integration of the Internet of Things (IoT) into the fields of wastewater treatment and water
quality prediction has the potential to revolutionize traditional approaches and address …

Abstract Water/wastewater ((waste) water) disinfection, as a critical process during drinking
water or wastewater treatment, can simultaneously inactivate pathogens and remove …

Disinfection byproduct (DBP) formation, prediction, and minimization are critical challenges
facing the drinking water treatment industry worldwide where chemical disinfection is …

Monitoring and prevention of the formation of disinfection by-products (DBPs) is paramount
in drinking water treatment plants (DWTP) to ensure human health safety. This review …

Drinking water is essential to public health and socioeconomic growth. Therefore, assessing
and ensuring drinking water supply is a critical task in modern society. Conventional …

Managing water resources and determining the quality of surface and groundwater is one of
the most significant issues fundamental to human and societal well-being. The process of …

Abstract Artificial Neural Network (ANN) models are accurate in predicting the levels of
disinfection by-products (DBPs) in drinking water. However, these models are not yet …

Abstract The United Nations Sustainable Development Goals call for innovative proposals to
ensure access to clean water and sanitation. While significant strides have been made in …

Abstract Disinfection by-products (DBPs), generated from the reaction of disinfectants with
DBP precursors, have been found to pose unintentional risks to human health. Considering …