A review on state-of-the-art applications of data-driven methods in desalination systems
The substitution of conventional mathematical models with fast and accurate modeling tools
can result in the further development of desalination technologies and tackling the need for …
can result in the further development of desalination technologies and tackling the need for …
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 …
Performance optimisation of forward-osmosis membrane system using machine learning for the treatment of textile industry wastewater
Forward osmosis (FO) is an emerging low energy membrane-based technology and can be
applied if the diluted draw solution (DS) is directly utilized without additional …
applied if the diluted draw solution (DS) is directly utilized without additional …
Intelligent process optimisation based on cutting-edge emotional learning for performance evaluation of NF/RO of seawater desalination plant
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 …
Employing artificial neural network for accurate modeling, simulation and performance analysis of an RO-based desalination process
In this paper, we implement sustainable soft computing via application of Artificial Neural
Networks (ANN) to predict the desalination plant output more accurately. The proposed ANN …
Networks (ANN) to predict the desalination plant output more accurately. The proposed ANN …
[PDF][PDF] A review of the artificial neural network based modelling and simulation approaches applied to optimize reverse osmosis desalination techniques
The current global issue of water scarcity has demanded for over-abstraction of conventional
freshwater resources. The states of water scarcity are anticipated to worsen, as by 2050 the …
freshwater resources. The states of water scarcity are anticipated to worsen, as by 2050 the …
Modelling the chlorophenol removal from wastewater via reverse osmosis process using a multilayer artificial neural network with genetic algorithm
Reverse Osmosis (RO) can be considered as one of the most widely used technologies
used to abate the existence of highly toxic compounds from wastewater. In this paper, a …
used to abate the existence of highly toxic compounds from wastewater. In this paper, a …
Performance evaluation of hydroponic wastewater treatment plant integrated with ensemble learning techniques: a feature selection approach
Wastewater treatment and reuse are being regarded as the most effective strategy for
combating water scarcity threats. This study examined and reported the applications of the …
combating water scarcity threats. This study examined and reported the applications of the …
Mathematical regression and artificial neural network for prediction of corrosion inhibition process of steel in acidic media
Present work reports the results of the corrosion current density of mild steel in acidic
solution as a function of acid concentration, inhibitor concentration, and temperature …
solution as a function of acid concentration, inhibitor concentration, and temperature …
A modeling-based comparison study of data-driven and transport models for forward osmosis-nanofiltration hybrid system
The conventional transport modeling techniques for FO-hybrid processes are formidably
complex and rigorous. Data-driven models may present a better alternative to conventional …
complex and rigorous. Data-driven models may present a better alternative to conventional …