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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 …
Revolutionizing groundwater management with hybrid AI models: A practical review
Develo** precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …
quality and quantity, is crucial for improving water resources planning and management. In …
[HTML][HTML] Advanced prediction models for scouring around bridge abutments: A comparative study of empirical and AI Techniques
Scouring is a major concern affecting the overall stability and safety of a bridge. The current
research investigated the effectiveness of the various artificial intelligence (AI) techniques …
research investigated the effectiveness of the various artificial intelligence (AI) techniques …
Prediction of nitrate concentration and the impact of land use types on groundwater in the Nansi Lake Basin
Groundwater faces a pervasive threat from anthropogenic nitrate contamination worldwide,
particularly in regions characterized by intensive agricultural practices. This study examines …
particularly in regions characterized by intensive agricultural practices. This study examines …
Experimental and Artificial Neural Network (ANN) modeling of instream vegetation hydrodynamic resistance
This study examines the impact of upstream structures on the bulk drag coefficient of
vegetation through experimental means, which has not been previously conducted. An …
vegetation through experimental means, which has not been previously conducted. An …
[HTML][HTML] Machine learning algorithms to forecast wet-period rainfall using climate indices in Northern Territory of Australia
Accurate rainfall prediction is crucial for understanding and managing a region's social and
agricultural environment. As a key indicator of climate change, natural disasters, and local …
agricultural environment. As a key indicator of climate change, natural disasters, and local …
A Comparative Analysis of Sediment Concentration Using Artificial Intelligence and Empirical Equations
Morphological changes in canals are greatly influenced by sediment load dynamics, whose
estimation is a challenging task because of the non-linear behavior of the sediment …
estimation is a challenging task because of the non-linear behavior of the sediment …
Seasonal rainfall forecasting using wavelet based hybrid models
R Farooq, MA Imteaz - 2023 IEEE Engineering Informatics, 2023 - ieeexplore.ieee.org
Present study forecast the seasonal summer rainfall in two distinct Northern Territory (NT),
Australia stations by employing modified hybrid algorithms with a single level of …
Australia stations by employing modified hybrid algorithms with a single level of …