One of the most crucial jobs to improve water resources management plans is the
assessment of river water quality. A water quality index (WQI) takes multiple water quality …

The rising water pollution from anthropogenic factors motivates further research in
developing water quality predicting models. The available models have certain limitations …

Modeling surface water quality using artificial intelligence-based models is essential in
projecting suitable mitigation measures. However, it remains a challenge and requires …

Groundwater quality monitoring in the vicinity of drilling sites is crucial for the protection of
water resources. Selected physicochemical parameters of waters were marked in the study …

The smarter world needs more efforts to purposeful manage and usage of technologies,
science, artificial intelligence, and artificial neural networks, as their product. One of the main …

In this study, a novel least square support vector machine (LSSVM) model integrated with
gradient-based optimizer (GBO) algorithm is introduced for the assessment of water quality …

Water quality indexes (WQI) are pivotal in assessing aquatic systems. Conventional
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …

Abstract Study region Bisham Qilla and Doyian stations, Indus River Basin of Pakistan Study
focus Water pollution is an international concern that impedes human health, ecological …

Groundwater is a natural resource used for drinking, agriculture, and industry, apart from
surface water. Its quality should be assessed regularly, and the condition of water resources …

Water contamination is indeed a worldwide problem that threatens public health,
environmental protection, and agricultural productivity. The distinctive attributes of machine …