A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
Prediction of water quality indexes with ensemble learners: Bagging and boosting
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 …
assessment of river water quality. A water quality index (WQI) takes multiple water quality …
Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
The management of river water quality is one the most significant environmental challenges.
Water quality index (WQI) describes several water quality variables at a certain aquatic …
Water quality index (WQI) describes several water quality variables at a certain aquatic …
Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models
Dissolved oxygen (DO) is an important indicator of river health for environmental engineers
and ecological scientists to understand the state of river health. This study aims to evaluate …
and ecological scientists to understand the state of river health. This study aims to evaluate …
Water, soil and air pollutants' interaction on mangrove ecosystem and corresponding artificial intelligence techniques used in decision support systems-a review
The feasibility of artificial intelligence (AI) as a predictive model for thorough efficacy
analysis on environmental pollution applied on mangrove forests are discussed. Mangrove …
analysis on environmental pollution applied on mangrove forests are discussed. Mangrove …
Forecasting water quality index in groundwater using artificial neural network
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 …
water resources. Selected physicochemical parameters of waters were marked in the study …
[HTML][HTML] Evolutionary and ensemble machine learning predictive models for evaluation of water quality
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 …
focus Water pollution is an international concern that impedes human health, ecological …
Water quality modelling using artificial neural network and multivariate statistical techniques
This study investigates and proposes a reduction in the number of water quality monitoring
stations, parameters and develops the best input combination for water quality modelling …
stations, parameters and develops the best input combination for water quality modelling …
Multi-expression programming (MEP): water quality assessment using water quality indices
Water contamination is indeed a worldwide problem that threatens public health,
environmental protection, and agricultural productivity. The distinctive attributes of machine …
environmental protection, and agricultural productivity. The distinctive attributes of machine …