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 …

Water quality deterioration in drinking water systems (ie, system failure) causing serious
outbreaks have frequently been happening around the world. These failures can be …

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

Trihalomethanes (THMs) are disinfection byproducts (DBPs) that are formed during
chemical disinfection of drinking water. However, a variety of factors, including water …

Due to rapid population growth, urbanization, water contamination, and climate change,
global water resources are under increasing pressure. Water utilities apply drinking water …

As the final and crucial link in delivering clean water to consumers, the water distribution
system faces the risk of water quality deterioration. Conventional water quality parameter …

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 …

Monitoring emerging disinfection byproducts (DBPs) is challenging for many small water
distribution networks (SWDNs), and machine learning-based predictive modeling could be …

In this paper, a novel general regression neural network-based data-driven model-free
nonlinear predictive functional control approach is proposed for a class of unknown single …

The combination of multilayer aluminum foam can have high sound absorption coefficients
(SAC) at low and medium frequencies, and predicting its absorption coefficient can help the …