The effective management of water resources is essential to environmental stewardship and
sustainable development. Traditional approaches to water resource management (WRM) …

Biochar is emerging as a potential solution for biomass conversion to meet the ever
increasing demand for sustainable energy. Efficient management systems are needed in …

Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …

Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …

Heavy metal exposure is a common risk factor for hypertension. To develop an interpretable
predictive machine learning (ML) model for hypertension based on levels of heavy metal …

The water quality of lakes recharged by reclaimed water is affected by both the fluctuation of
reclaimed water quality and the biochemical processes in the lakes, and therefore the main …

Precisely predicting the concentration of nitrogen-based pollutants from the wastewater
treatment plants (WWTPs) remains a challenging yet crucial task for optimizing operational …

Loktak Lake, one of the largest freshwater lakes in Manipur, India, is critical for the eco-
hydrology and economy of the region, but faces deteriorating water quality due to …

The water quality of the Middle Route of the South-to-North Water Diversion Project (MRP) of
China is related to the health and safety of about 8500w people. In recent years, multiple …

Nonconformance (NCR) has long been a subject of research interest for its potential to
extrapolate information leading to a more productive environment in construction projects …