[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …
classification schemes. Consequently, different methods provide a number of interpretations …
Using machine learning models for predicting the water quality index in the La Buong River, Vietnam
For effective management of water quantity and quality, it is absolutely essential to estimate
the pollution level of the existing surface water. This case study aims to evaluate the …
the pollution level of the existing surface water. This case study aims to evaluate the …
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 …
Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
Water quality prediction using machine learning models based on grid search method
Water quality is very dominant for humans, animals, plants, industries, and the environment.
In the last decades, the quality of water has been impacted by contamination and pollution …
In the last decades, the quality of water has been impacted by contamination and pollution …
An artificial neural network model for water quality and water consumption prediction
With rapid urbanization, high rates of industrialization, and inappropriate waste disposal,
water quality has been substantially degraded during the past decade. So, water quality …
water quality has been substantially degraded during the past decade. So, water quality …
[HTML][HTML] Water-quality prediction based on H2O AutoML and explainable AI techniques
Rapid expansion of the world's population has negatively impacted the environment, notably
water quality. As a result, water-quality prediction has arisen as a hot issue during the last …
water quality. As a result, water-quality prediction has arisen as a hot issue during the last …
Classification of water potability using machine learning algorithms
MIK Haq, FD Ramadhan, F Az-Zahra… - … Intelligence and Big …, 2021 - ieeexplore.ieee.org
Clean water is one of the basic needs of everyday life. Recently, an ongoing process has
been shown to improve water quality, making water less suitable for use. To solve this …
been shown to improve water quality, making water less suitable for use. To solve this …
Advances in machine learning and IoT for water quality monitoring: A comprehensive review
Water holds great significance as a vital resource in our everyday lives, highlighting the
important to continuously monitor its quality to ensure its usability. The advent of the. The …
important to continuously monitor its quality to ensure its usability. The advent of the. The …
Predicting and forecasting water quality using deep learning
A Debow, S Shweikani… - International Journal of …, 2023 - inderscienceonline.com
During the last years, obtaining water with acceptable quality for human consumption or
even for agricultural applications is a big challenge in many places around the world. Water …
even for agricultural applications is a big challenge in many places around the world. Water …