Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges
Managed aquifer recharge (MAR) replenishes groundwater by artificially entering water into
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …
Enhanced desalination with polyamide thin-film membranes using ensemble ML chemometric methods and SHAP analysis
Addressing global freshwater scarcity requires innovative technological solutions, among
which desalination through thin-film composite polyamide membranes stands out. The …
which desalination through thin-film composite polyamide membranes stands out. The …
AI-Powered Water Quality Index Prediction: Unveiling Machine Learning Precision in Hyper-Arid Regions
Water is a vital resource essential for all life, and its quality has been compromised by
pollution and contamination in recent decades. The Water Quality Index (WQI) is crucial for …
pollution and contamination in recent decades. The Water Quality Index (WQI) is crucial for …
Influence of membrane characteristics and operational parameters on predictive control of permeance and rejection rate using explainable artificial intelligence (XAI)
Membrane technology provides viable solutions for water treatment and desalination yet
predicting membrane performance remains challenging due to complex interactions …
predicting membrane performance remains challenging due to complex interactions …
Prediction of Abidjan Groundwater Quality Using Machine Learning Approaches: An Exploratory Study
DGE Kressy - Intelligent Control and Automation, 2024 - scirp.org
Continuous groundwater quality monitoring poses significant challenges affecting the
environment and public health. Groundwater in Abidjan, specifically from the Continental …
environment and public health. Groundwater in Abidjan, specifically from the Continental …