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[HTML][HTML] A review of green artificial intelligence: Towards a more sustainable future
Green artificial intelligence (AI) is more environmentally friendly and inclusive than
conventional AI, as it not only produces accurate results without increasing the …
conventional AI, as it not only produces accurate results without increasing the …
[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
Prediction of river flow rates is an essential task for both flood protection and optimal water
resource management. The high uncertainty associated with basin characteristics …
resource management. The high uncertainty associated with basin characteristics …
[HTML][HTML] Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
Using a comparison of three different major types, the best predictive model was
determined. Statistical models and machine learning algorithms automatically learn and …
determined. Statistical models and machine learning algorithms automatically learn and …
AutoML-GWL: automated machine learning model for the prediction of groundwater level
Predicting groundwater levels is pivotal in curbing overexploitation and ensuring effective
water resource governance. However, groundwater level prediction is intricate, driven by …
water resource governance. However, groundwater level prediction is intricate, driven by …
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 …
[HTML][HTML] Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
In years of increasing impact of climate change effects, a reliable characterization of the
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …
[HTML][HTML] Assessing the compressive and splitting tensile strength of self-compacting recycled coarse aggregate concrete using machine learning and statistical …
The construction industry is adopting high-performance materials due to technological and
environmental advances. Researchers worldwide are studying the use of recycled coarse …
environmental advances. Researchers worldwide are studying the use of recycled coarse …
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
In recent years, the growing impact of climate change on surface water bodies has made the
analysis and forecasting of streamflow rates essential for proper planning and management …
analysis and forecasting of streamflow rates essential for proper planning and management …
Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data
The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …
With global warming and climate change, its significance has become increasingly evident …