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 …
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
[HTML][HTML] Compressive strength of concrete containing furnace blast slag; optimized machine learning-based models
Abstract Replacing Ordinary Portland Cement (OPC) with industrial waste like Ground
Granulated Blast Furnace Slag (GGBFS) has been proven to have remarkable benefits …
Granulated Blast Furnace Slag (GGBFS) has been proven to have remarkable benefits …
Decomposition integration and error correction method for photovoltaic power forecasting
G Li, X Wei, H Yang - Measurement, 2023 - Elsevier
Photovoltaic power generation has remarkable environmental benefit, and it is one of the
effective means to fundamentally solve environmental problem. An accurate photovoltaic …
effective means to fundamentally solve environmental problem. An accurate photovoltaic …
Application of artificial intelligence models for prediction of groundwater level fluctuations: Case study (Tehran-Karaj alluvial aquifer)
The nonlinear groundwater level fluctuations depend on the interaction of many factors such
as evapotranspiration, precipitation, groundwater abstraction, and hydrogeological …
as evapotranspiration, precipitation, groundwater abstraction, and hydrogeological …
Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
ABSTRACT A reliable model to predict the changes in the water levels in a river is crucial for
better planning to mitigate any risk associated with flooding. In this study, six different …
better planning to mitigate any risk associated with flooding. In this study, six different …
Atmosphere air temperature forecasting using the honey badger optimization algorithm: on the warmest and coldest areas of the world
J Zhou, D Wang, SS Band, E Mirzania… - … of Computational Fluid …, 2023 - Taylor & Francis
Precisely forecasting air temperature as a significant meteorological parameter has a critical
role in environment quality management. Hence, this study employs a hybrid intelligent …
role in environment quality management. Hence, this study employs a hybrid intelligent …
Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow
River streamflow is an essential hydrological parameters for optimal water resource
management. This study investigates models used to estimate monthly time-series river …
management. This study investigates models used to estimate monthly time-series river …
[HTML][HTML] Spatial prediction of groundwater potential and driving factor analysis based on deep learning and geographical detector in an arid endorheic basin
Z Wang, J Wang, J Han - Ecological Indicators, 2022 - Elsevier
Substantial mineral resources are enriched in the arid endorheic basins; however, due to
environmental constraints, these areas face water shortages as well as its extremely uneven …
environmental constraints, these areas face water shortages as well as its extremely uneven …
Estimating equilibrium scour depth around non-circular bridge piers using interpretable hybrid machine learning models
Scouring at bridge piers is a crucial issue that risks bridge collapses, causing economic
losses and endangering public safety. Classic models struggle to accurately estimate …
losses and endangering public safety. Classic models struggle to accurately estimate …