Mathematical and machine learning models for groundwater level changes: a systematic review and bibliographic analysis
S Afrifa, T Zhang, P Appiahene, V Varadarajan - Future Internet, 2022 - mdpi.com
With the effects of climate change such as increasing heat, higher rainfall, and more
recurrent extreme weather events including storms and floods, a unique approach to …
recurrent extreme weather events including storms and floods, a unique approach to …
[HTML][HTML] A machine learning method for the prediction of ship motion trajectories in real operational conditions
This paper presents a big data analytics method for the proactive mitigation of grounding
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …
Photocatalytic activity of S-scheme heterostructure for hydrogen production and organic pollutant removal: a mini-review
A Enesca, L Andronic - Nanomaterials, 2021 - mdpi.com
Finding new technologies and materials that provide real alternatives to the environmental
and energy-related issues represents a key point on the future sustainability of the industrial …
and energy-related issues represents a key point on the future sustainability of the industrial …
Low-cost internet-of-things water-quality monitoring system for rural areas
Water is a vital source for life and natural environments. This is the reason why water
sources should be constantly monitored in order to detect any pollutants that might …
sources should be constantly monitored in order to detect any pollutants that might …
Multivariate statistical analysis and geospatial mapping for assessing groundwater quality in West El Minia District, Egypt
The primary goal of this study is to analyze the hydrogeochemical properties and assess the
groundwater quality for drinking, domestic, and irrigation purposes in West El Minia, Egypt …
groundwater quality for drinking, domestic, and irrigation purposes in West El Minia, Egypt …
A bibliometric analysis of groundwater access and its management: making the invisible visible
The sustainable management of groundwater resources is required to avoid a water crisis.
The current study focused on a bibliometric analysis of groundwater access and …
The current study focused on a bibliometric analysis of groundwater access and …
Predicting hydropower production using deep learning CNN-ANN hybridized with gaussian process regression and salp algorithm
M Ehtearm, H Ghayoumi Zadeh, A Seifi… - Water Resources …, 2023 - Springer
The hydropower industry is one of the most important sources of clean energy. Predicting
hydropower production is essential for the hydropower industry. This study introduces a …
hydropower production is essential for the hydropower industry. This study introduces a …
[HTML][HTML] Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe
Sodium hazard poses a critical threat to agricultural production globally and regionally
which has been previously predicted from ground or surface water. Monitoring rainwater …
which has been previously predicted from ground or surface water. Monitoring rainwater …
Application of soft computing in predicting groundwater quality parameters
MS Hanoon, AM Ammar, AN Ahmed… - Frontiers in …, 2022 - frontiersin.org
Evaluating the quality of groundwater in a specific aquifer could be a costly and time-
consuming procedure. An attempt was made in this research to predict various parameters …
consuming procedure. An attempt was made in this research to predict various parameters …
Hybridization of cokriging and gaussian process regression modelling techniques in mapping soil sulphur
As a widely used soil mapping method, the kriging method involves a high sampling point to
generate quality and accurate maps. Combining kriging and machine learning (ML) can …
generate quality and accurate maps. Combining kriging and machine learning (ML) can …