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[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
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 …
A review of the artificial intelligence methods in groundwater level modeling
This study is a review to the special issue on artificial intelligence (AI) methods for
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …
The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction
Precise streamflow prediction is necessary for better planning and managing available
water and future water resources, especially for high altitude mountainous glacier melting …
water and future water resources, especially for high altitude mountainous glacier melting …
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 …
Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work
F Fotovatikhah, M Herrera… - Engineering …, 2018 - Taylor & Francis
Flooding produces debris and waste including liquids, dead animal bodies and hazardous
materials such as hospital waste. Debris causes serious threats to people's health and can …
materials such as hospital waste. Debris causes serious threats to people's health and can …
Artificial intelligence based models for stream-flow forecasting: 2000–2015
Summary The use of Artificial Intelligence (AI) has increased since the middle of the 20th
century as seen in its application in a wide range of engineering and science problems. The …
century as seen in its application in a wide range of engineering and science problems. The …
Graph neural network for groundwater level forecasting
T Bai, P Tahmasebi - Journal of Hydrology, 2023 - Elsevier
Accurate prediction of groundwater level (GWL) over a period of time is of great importance
for groundwater resources management. Machine learning techniques due to their great …
for groundwater resources management. Machine learning techniques due to their great …
Applications of hybrid wavelet–artificial intelligence models in hydrology: a review
Accurate and reliable water resources planning and management to ensure sustainable use
of watershed resources cannot be achieved without precise and reliable models …
of watershed resources cannot be achieved without precise and reliable models …
Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation
S Samantaray, A Sahoo - Groundwater for Sustainable Development, 2024 - Elsevier
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] Groundwater level modeling with machine learning: a systematic review and meta-analysis
Groundwater is a vital source of freshwater, supporting the livelihood of over two billion
people worldwide. The quantitative assessment of groundwater resources is critical for …
people worldwide. The quantitative assessment of groundwater resources is critical for …