Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system
Abstract Recently, hydrogen (H 2) gas has gained prodigious attention as a sustainable
energy carrier to reduce acute dependence on fossil fuels due to its fascinating properties …
energy carrier to reduce acute dependence on fossil fuels due to its fascinating properties …
Fluoride and nitrate enrichment in coastal aquifers of the Eastern Province, Saudi Arabia: The influencing factors, toxicity, and human health risks
Fluoride and nitrate contamination of groundwater is a major environmental issue in the
world's arid and semiarid regions. This issue is severe in both developed and developing …
world's arid and semiarid regions. This issue is severe in both developed and developing …
[HTML][HTML] A multi-step approach to evaluate the sustainable use of groundwater resources for human consumption and agriculture
The rapid decline in both quality and availability of freshwater resources on our planet
necessitates their thorough assessment to ensure sustainable usage. The growing demand …
necessitates their thorough assessment to ensure sustainable usage. The growing demand …
[HTML][HTML] Intelligent learning algorithms integrated with feature engineering for sustainable groundwater salinization modelling: Eastern Province of Saudi Arabia
Groundwater (GW) salinization refers to the natural or human-induced process of GW
acquiring a higher level of salt content. While geological factors or proximity to the ocean …
acquiring a higher level of salt content. While geological factors or proximity to the ocean …
Tuning OER electrocatalysts toward LOM pathway through the lens of multi-descriptor feature selection by artificial intelligence-based approach
From the thermodynamic and kinetic viewpoints, the oxygen evolution reaction (OER) is
central to the production of hydrogen through electrocatalytic water splitting process. As a …
central to the production of hydrogen through electrocatalytic water splitting process. As a …
Mapping of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia
The growing increase in groundwater (GW) salinization in the coastal aquifers has reached
an alarming socio-economic menace in Saudi Arabia and various places globally due to …
an alarming socio-economic menace in Saudi Arabia and various places globally due to …
Intelligent process optimisation based on cutting-edge emotional learning for performance evaluation of NF/RO of seawater desalination plant
SI Abba, M Benaafi, IH Aljundi - Desalination, 2023 - Elsevier
As decision-makers, researchers encounter highly dynamic, complex problems requiring
suitable nature-based and industrial quantitative tools for performance analyses, syntheses …
suitable nature-based and industrial quantitative tools for performance analyses, syntheses …
An overview of streamflow prediction using random forest algorithm
Since the first application of Artificial Intelligence in the field of hydrology, there has been a
great deal of interest in exploring aspects of future enhancements to hydrology. This is …
great deal of interest in exploring aspects of future enhancements to hydrology. This is …
Heavy metals prediction in coastal marine sediments using hybridized machine learning models with metaheuristic optimization algorithm
This study proposes different standalone models viz: Elman neural network (ENN), Boosted
Tree algorithm (BTA), and f relevance vector machine (RVM) for modeling arsenic (As …
Tree algorithm (BTA), and f relevance vector machine (RVM) for modeling arsenic (As …