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[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research …
Despite the massive diversity in the modeling requirements for practical hydrological
applications, there remains a need to develop more reliable and intelligent expert systems …
applications, there remains a need to develop more reliable and intelligent expert systems …
Groundwater level prediction using machine learning algorithms in a drought-prone area
Groundwater resources (GWR) play a crucial role in agricultural crop production, daily life,
and economic progress. Therefore, accurate prediction of groundwater (GW) level will aid in …
and economic progress. Therefore, accurate prediction of groundwater (GW) level will aid in …
Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …
[HTML][HTML] GIS-based multi-criteria analysis for identification of potential groundwater recharge zones-a case study from Ponnaniyaru watershed, Tamil Nadu, India
Groundwater is one of the most vital natural resources; spatially varying in quality and
quantity. Increased urbanisation and population creates tremendous pressure on the quality …
quantity. Increased urbanisation and population creates tremendous pressure on the quality …
Groundwater level forecasting with machine learning models: A review
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
Daily streamflow prediction using optimally pruned extreme learning machine
Daily streamflow prediction is important for flood warning, navigation, sediment control,
reservoir operations and environmental protection. The current paper examines the …
reservoir operations and environmental protection. The current paper examines the …
Receiving more accurate predictions for longitudinal dispersion coefficients in water pipelines: training group method of data handling using extreme learning …
Longitudinal dispersion coefficient (LDC) is known as the most remarkable environmental
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
Groundwater level (GWL) forecasting is crucial for irrigation scheduling, water supply and
land development. Machine learning (ML)(eg, artificial neural networks) has been …
land development. Machine learning (ML)(eg, artificial neural networks) has been …
[HTML][HTML] Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm
The demand for water resources has increased due to rapid increase of metropolitan areas
brought on by growth in population and industrialisation. In addition, the groundwater …
brought on by growth in population and industrialisation. In addition, the groundwater …