Prediction of groundwater quality using efficient machine learning technique
To ensure safe drinking water sources in the future, it is imperative to understand the quality
and pollution level of existing groundwater. The prediction of water quality with high …
and pollution level of existing groundwater. The prediction of water quality with high …
Water quality prediction using KNN imputer and multilayer perceptron
The rapid development to accommodate population growth has a detrimental effect on water
quality, which is deteriorating. Consequently, water quality prediction has emerged as a …
quality, which is deteriorating. Consequently, water quality prediction has emerged as a …
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Regular monitoring and assessment of water quality is essential to maintain the quality of
lake water. A commonly used method for assessing water quality is the Water Quality Index …
lake water. A commonly used method for assessing water quality is the Water Quality Index …
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: Integration of remote sensing and data-driven …
Rivers, as one of the freshwater resources, are generally put in the state of jeopardy in terms
of quantity and quality due to the development in industry, agriculture, and urbanization …
of quantity and quality due to the development in industry, agriculture, and urbanization …
[HTML][HTML] Science mapping approach to critical reviewing of published literature on water quality indexing
S Dash, AS Kalamdhad - Ecological Indicators, 2021 - Elsevier
Water quality has always remained paramount when it comes to sustainable development.
The most convenient method of determining the health of a particular water body is through …
The most convenient method of determining the health of a particular water body is through …
Water quality modelling using principal component analysis and artificial neural network
The study investigates the latent pollution sources and most significant parameters that
cause spatial variation and develops the best input for water quality modelling using …
cause spatial variation and develops the best input for water quality modelling using …
Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index
In recent decades, various conventional techniques have been formulated around the world
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
Forecasting water quality index in groundwater using artificial neural network
M Kulisz, J Kujawska, B Przysucha, W Cel - Energies, 2021 - mdpi.com
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 …
Exploring artificial intelligence techniques for groundwater quality assessment
Freshwater quality and quantity are some of the fundamental requirements for sustaining
human life and civilization. The Water Quality Index is the most extensively used parameter …
human life and civilization. The Water Quality Index is the most extensively used parameter …
Analysis of water quality indices and machine learning techniques for rating water pollution: a case study of Rawal Dam, Pakistan
Abstract Water Quality Index (WQI) is a unique and effective rating technique for assessing
the quality of water. Nevertheless, most of the indices are not applicable to all water types as …
the quality of water. Nevertheless, most of the indices are not applicable to all water types as …