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Ensemble machine learning paradigms in hydrology: A review
Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
Indices and models of surface water quality assessment: Review and perspectives
Many technologies have been designed to monitor, evaluate, and improve surface water
quality, as high-quality water is essential for human activities including agriculture, livestock …
quality, as high-quality water is essential for human activities including agriculture, livestock …
Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Groundwater quality appraisal is one of the most crucial tasks to ensure safe drinking water
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
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 …
A deep learning algorithm for multi-source data fusion to predict water quality of urban sewer networks
Y Jiang, C Li, L Sun, D Guo, Y Zhang… - Journal of Cleaner …, 2021 - Elsevier
Point source pollution in urban drainage networks, which is difficult to monitor and control,
has been regarded as an intractable problem. To solve the problem, key water quality …
has been regarded as an intractable problem. To solve the problem, key water quality …
Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin
The water quality index is one of the prominent general indicators to assess and classify
surface water quality, which plays a critical role in river water resources practices. This …
surface water quality, which plays a critical role in river water resources practices. This …
Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India
Data-driven models are important to predict groundwater quality which is controlling human
health. The water quality index (WQI) has been developed based on the physicochemical …
health. The water quality index (WQI) has been developed based on the physicochemical …
Facile synthesis of crosslinked chitosan-tripolyphosphate/kaolin clay composite for decolourization and COD reduction of remazol brilliant blue R dye: optimization by …
The facile synthesis of crosslinked chitosan-tripolyphosphate/kaolin clay (CS-TPP/KC)
composite was performed by two subsequent steps involving modification of chitosan (CS) …
composite was performed by two subsequent steps involving modification of chitosan (CS) …
Prediction of long-term water quality using machine learning enhanced by Bayesian optimisation
Water quality assessment is critical to better recognise the importance of water in human
society. In this study, a new framework to predict long-term water quality is proposed by …
society. In this study, a new framework to predict long-term water quality is proposed by …
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …
in optimizing agricultural water consumption and water resources management. In the …