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Modeling of forward osmosis process using artificial neural networks (ANN) to predict the permeate flux
(
Elsevier
, 2020 , Article)
Artificial neural networks (ANN) are black box models that are becoming more popular than transport-based models due to their high accuracy and less computational time in predictions. The literature shows a lack of ANN ...
The influence of aeration scheme and aeration rate on the permeate flux for wastewater treatment using membrane bioreactors: Experimental and artificial neural network modeling
(
Desalination Publications
, 2021 , Article)
In this paper, the effect of time, aeration scheme, aeration rate, and mixed liquor suspended solid (MLSS) concentration on the permeate flux in membrane bioreactors have been studied. Aeration rates of 0.5, 1.0, and 1.5 ...
Modeling and sensitivity analysis of the forward osmosis process to predict membrane flux using a novel combination of neural network and response surface methodology techniques
(
MDPI AG
, 2021 , Article)
The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) ...
Experimental analysis and modeling of the methane degradation in a three stage biofilter using composted sawdust as packing media
(
J. Environ. Manage.
, 2021 , Article)
Methane gas is a very effective greenhouse gas and the second-largest contributor to global warming. Biofiltration is an effective technology that uses microorganisms to degrade the pollutant by oxidizing it. In this work, ...