[HTML][HTML] A review of green artificial intelligence: Towards a more sustainable future

V Bolón-Canedo, L Morán-Fernández, B Cancela… - Neurocomputing, 2024 - Elsevier
Green artificial intelligence (AI) is more environmentally friendly and inclusive than
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

AA Ahmed, S Sayed, A Abdoulhalik, S Moutari… - Journal of Cleaner …, 2024 - Elsevier
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 …

Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study

F Granata, F Di Nunno, G de Marinis - Journal of Hydrology, 2022 - Elsevier
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 …

[HTML][HTML] Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

SD Latif, NAB Hazrin, CH Koo, JL Ng, B Chaplot… - Alexandria Engineering …, 2023 - Elsevier
Using a comparison of three different major types, the best predictive model was
determined. Statistical models and machine learning algorithms automatically learn and …

AutoML-GWL: automated machine learning model for the prediction of groundwater level

A Singh, S Patel, V Bhadani, V Kumar… - … Applications of Artificial …, 2024 - Elsevier
Predicting groundwater levels is pivotal in curbing overexploitation and ensuring effective
water resource governance. However, groundwater level prediction is intricate, driven by …

Groundwater level forecasting with machine learning models: A review

KBW Boo, A El-Shafie, F Othman, MMH Khan… - Water Research, 2024 - Elsevier
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 …

[HTML][HTML] Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms

F Di Nunno, F Granata - Agricultural Water Management, 2023 - Elsevier
In years of increasing impact of climate change effects, a reliable characterization of the
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 …

A Alyaseen, A Poddar, N Kumar, P Sihag, D Lee… - Materials Today …, 2024 - Elsevier
The construction industry is adopting high-performance materials due to technological and
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

F Di Nunno, G de Marinis, F Granata - Scientific Reports, 2023 - nature.com
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 …

Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data

RM Adnan, HL Dai, RR Mostafa, ARMT Islam… - Geocarto …, 2023 - Taylor & Francis
The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …