Research graph
References from Deep learning modeling of kaolin-activated carbon (derived from cigarette waste) hybrid ceramic membrane performance for wastewater treatment applications. Local targets link to admitted publications; unresolved targets remain external evidence.
Membrane technology enhancement in oil-water separation. A review
10.1016/j.desal.2014.11.023 · 2015 · External reference
Treatment of cutting oil/water emulsion by coupling coagulation and dissolved air flotation
10.1016/j.desal.2006.02.070 · 2007 · External reference
Factors influencing the ultrasonic separation of oil-in-water emulsions
10.1016/j.ultsonch.2003.10.008 · 2005 · External reference
Treatment of oil-water emulsion through coagulation-flocculation and sedimentation using waterworks sludge as a green agent
10.1016/j.jece.2025.116548 · 2025 · External reference
Treatment of oily wastewater by combining ozonation and microfiltration
10.1080/19443994.2014.939877 · 2015 · External reference
Advancements in ceramic membranes for robust oil-water separation
10.1016/j.jece.2024.113658 · 2024 · External reference
Preparation of ceramic membranes and their application in wastewater and water treatment
2023 · External reference
Superhydrophilic, low cost kaolin-based hollow fibre membranes for efficient oily-wastewater separation
2016 · External reference
Mechanically robust Polybenzoxazine/reduced graphene oxide wrapped-cellulose sponge towards highly efficient oil/water separation, and solar-driven for cleaning up crude oil
10.1016/j.compscitech.2020.108254 · 2020 · External reference
Facile hydrophilic modification of PVDF membrane with ag/EGCG decorated Micro/Nanostructural surface for efficient oil-in-water emulsion separation
10.1016/j.cej.2020.126200 · 2020 · External reference
Micro/nanoscale hierarchical structured ZnO mesh film for separation of water and oil
10.1039/c1cp20671k · 2011 · External reference
10.1016/j.ceramint.2021.04.286
10.1016/j.ceramint.2021.04.286 · External reference
Unresolved reference
External reference
A modified mussel-inspired method to fabricate TiO2 decorated Superhydrophilic PVDF membrane for oil/water separation
10.1016/j.memsci.2016.01.053 · 2016 · External reference
An overview of superhydrophobic ceramic membrane surface modification for oil-water separation
10.1016/j.jmrt.2021.02.068 · 2021 · External reference
Impact of organosilanes modified superhydrophobic‐superoleophilic kaolin ceramic membrane on efficiency of oil recovery from produced water
10.1002/jctb.6554 · 2020 · External reference
10.1016/j.ceramint.2021.05.319
10.1016/j.ceramint.2021.05.319 · External reference
Influence of surface properties of filtration-layer metal oxide on ceramic membrane fouling during ultrafiltration of oil/water emulsion
10.1021/acs.est.5b04151 · 2016 · External reference
Separation of stable oil–water emulsion by the hydrophilic nano-sized ZrO2 Modified Al2O3 microfiltration membrane
10.1016/j.seppur.2010.08.008 · 2010 · External reference
Application of ceramic microfiltration membrane modified by Nano-TiO2 coating in separation of a stable oil-in-water emulsion
10.1016/j.memsci.2014.01.029 · 2014 · External reference
10.1038/s41545-023-00252-y
10.1038/s41545-023-00252-y · External reference
Robust zirconia ceramic membrane with exceptional performance for purifying Nano-emulsion oily wastewater
10.1016/j.watres.2021.117859 · 2022 · External reference
Wettability improvement of ceramic membrane by intercalating Nano-Al2O3 for oil and water separation
2021 · External reference
A robust superhydrophobic-Superoleophilic PDMS/Al2O3/CM composite ceramic membrane: stability, efficient emulsified oil/water separation, and anti-pollution performance
10.1016/j.seppur.2023.124864 · 2024 · External reference
Prediction of permeate flux in ultrafiltration processes: a review of Modeling approaches
10.3390/membranes11050368 · 2021 · External reference
Application of the Spiegler–Kedem–Kachalsky model to the removal of 4-chlorophenol by different nanofiltration membranes
10.1016/j.desal.2012.10.008 · 2013 · External reference
Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia
10.1038/s41598-024-70610-4 · 2024 · External reference
Deep learning with improved hybrid neuro-turning for predictive control of flux based on experimental DCMD module Design of Water Desalination System
2024 · External reference
Modeling of forward osmosis process using artificial neural networks (ANN) to predict the permeate flux
2020 · External reference
10.1016/j.jwpe.2019.101081
10.1016/j.jwpe.2019.101081 · External reference
Predicting micropollutant removal through nanopore-sized membranes using several machine-learning approaches based on feature engineering
10.1039/d4ra02475c · 2024 · External reference
10.20944/preprints202408.0839.v1
10.20944/preprints202408.0839.v1 · External reference
Machine-based learning of predictive models in organic solvent nanofiltration: solute rejection in pure and mixed solvents
2020 · External reference
Effect of backwash as a strategy for biofouling control in the submerged ceramic membrane bioreactor for high-density cultivations: process optimization and fouling mechanism at pilot scale
10.1016/j.seppur.2024.126428 · 2024 · External reference
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
10.3390/membranes11010070 · 2021 · External reference
Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: evidence from wastewater treatment and experimental laboratory
2023 · External reference
10.1109/innocomp63224.2024.00095
10.1109/innocomp63224.2024.00095 · External reference
Application of machine learning-based models to understand and predict critical flux of oil-in-water emulsion in crossflow microfiltration
10.1021/acs.iecr.1c04662 · 2022 · External reference
Design and machine learning prediction of in situ grown PDA-stabilized MOF (UiO-66-NH2) membrane for low-pressure separation of emulsified oily wastewater
10.1021/acsami.4c00752 · 2024 · External reference
Deep neural networks for Modeling fouling growth and flux decline during NF/RO membrane filtration
2019 · External reference
Enhancing accuracy of membrane fouling prediction using hybrid machine learning models
2022 · External reference
Case Studies in Thermal Engineering Separation of organic compound from water using membrane process : Hybrid machine learning-based modeling and validation.
10.1016/j.csite.2023.103583 · 2023 · External reference
Engineering Applications of Artificial Intelligence Development of advanced hybrid mechanistic-artificial intelligence computational model for learning of numerical data of flow in porous membranes
10.1016/j.engappai.2023.106910 · 2023 · External reference
Optimization and predictive modeling of membrane based produced water treatment using machine learning models
10.1016/j.cherd.2024.05.019 · 2024 · External reference
Anfis model for determining the economic order quantity
2018 · External reference
A boosted-trees method for name disambiguation
10.1007/s11192-012-0681-1 · 2012 · External reference
Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem
10.1016/j.ecolind.2015.08.036 · 2016 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Learning representations by Back-propagating errors
2019 · External reference
Dropout: a simple way to prevent neural networks from overfitting
2014 · External reference
Unresolved reference
External reference
Neural network modelling of non-linear hydrological relationships
10.5194/hess-11-1563-2007 · 2007 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
10.1109/niles50944.2020.9257950
10.1109/niles50944.2020.9257950 · External reference
Prediction of water level and water quality using a Cnn-Lstm combined deep learning approach
2020 · External reference
Influence of membrane characteristics and operational parameters on predictive control of permeance and rejection rate using explainable artificial intelligence (XAI)
10.1016/j.nexres.2024.100100 · 2025 · External reference
10.1016/j.enceco.2025.02.012
10.1016/j.enceco.2025.02.012 · External reference
10.1002/ajoc.202500465
10.1002/ajoc.202500465 · External reference
Prediction of critical heat flux using ANFIS
10.1016/j.anucene.2010.02.019 · 2010 · External reference
Membrane permeate flux and rejection factor prediction using intelligent systems
10.1016/j.desal.2011.08.041 · 2012 · External reference
Intelligent process optimisation based on cutting-edge emotional learning for performance evaluation of NF/RO of seawater desalination plant
2023 · External reference
Dopamine-decorated Lotus leaf-like PVDF/TiO2 membrane with underwater Superoleophobic for highly efficient oil-water separation
10.1016/j.psep.2021.01.006 · 2021 · External reference
10.1016/j.jwpe.2022.103119
10.1016/j.jwpe.2022.103119 · External reference
Prediction of MEUF process performance using artificial neural networks and ANFIS approaches
10.1016/j.jtice.2012.01.002 · 2012 · External reference
Some applications of radial plots
10.1080/01621459.1994.10476864 · 1994 · External reference
