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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 water quality with artificial intelligence: a review of methods and applications
D Irwan, M Ali, AN Ahmed, G Jacky, A Nurhakim… - … Methods in Engineering, 2023 - Springer
The water is the main pivotal sources of irrigation in agricultural activities and affects human
daily activities such as drinking. The water quality has a significant impact on various …
daily activities such as drinking. The water quality has a significant impact on various …
[HTML][HTML] A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches
With the significant increase in WQI applications worldwide and lack of specific application
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …
Optimization of water quality index models using machine learning approaches
F Ding, W Zhang, S Cao, S Hao, L Chen, X ** a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
Groundwater plays a pivotal role as a global source of drinking water. To meet sustainable
development goals, it is crucial to consistently monitor and manage groundwater quality …
development goals, it is crucial to consistently monitor and manage groundwater quality …
[HTML][HTML] Assessing optimization techniques for improving water quality model
In order to keep the" good" status of coastal water quality, it is essential to monitor and
assess frequently. The Water quality index (WQI) model is one of the most widely used …
assess frequently. The Water quality index (WQI) model is one of the most widely used …
[HTML][HTML] Data-driven evolution of water quality models: an in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …
utilizing data-driven approaches, especially those integrating machine learning and artificial …
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system
A variety of water quality indices have been used to assess the state of waterbodies all over
the world. In calculating a Water Quality Index (WQI), traditional methods require the …
the world. In calculating a Water Quality Index (WQI), traditional methods require the …
[HTML][HTML] Assessing and forecasting water quality in the Danube River by using neural network approaches
The health and quality of the Danube River ecosystems is strongly affected by the nutrients
loads (N and P), degree of contamination with hazardous substances or with oxygen …
loads (N and P), degree of contamination with hazardous substances or with oxygen …
[HTML][HTML] A sophisticated model for rating water quality
Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and
coastal water quality in an effort to improve the method and develop a tool that can be used …
coastal water quality in an effort to improve the method and develop a tool that can be used …