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Response surface methodology approach for optimization of biosorption process for removal of Hg(II) ions by immobilized Algal biomass Coelastrella sp

Polish journal of chemical technology, 2024-06, Vol.26 (2), p.57-68

2024

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Colored Wastewater Treatment by Clathrate Hydrate Technique

Water (Basel), 2023-06, Vol.15 (12), p.2227

2023

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Removal of Methyl Green Dye from simulated waste water using Hollow Fiber Ultrafiltration Membrane

IOP conference series. Materials Science and Engineering, 2020-11, Vol.928 (5), p.52020

2020

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Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling

Heliyon, 2023-01, Vol.9 (1), p.e12888, Article e12888

2023

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Modeling of lead (II) ion adsorption on multiwall carbon nanotubes using artificial neural network and Monte Carlo technique

Chemical engineering communications, 2023-10, Vol.210 (10), p.1642-1658

2023

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Contaminants Removal from Real Refinery Wastewater Associated with Energy Generation in Microbial Fuel Cell

Journal of Ecological Engineering, 2023-01, Vol.24 (1), p.107-114

2023

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A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique

Heliyon, 2023-04, Vol.9 (4), p.e15455-e15455, Article e15455

2023

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Improving Crude Oil Flow Using Graphene Flakes under an Applied Electric Field

Fluid dynamics & materials processing, 2023, Vol.19 (8), p.2067-2081

2023

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Fabrication and Characterization of Polyphenylsulfone/Titanium Oxide Nanocomposite Membranes for Oily Wastewater Treatment

Journal of Ecological Engineering, 2022-12, Vol.23 (12), p.1-13

2022

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Design of Artificial Neural Network for Prediction of Hydrogen Sulfide and Carbon Dioxide Concentrations in a Natural Gas Sweetening Plant

Ecological Engineering & Environmental Technology, 2023, Vol.24 (2), p.55-66

2023

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Studying the effect of reactor design on the electrocoagulation treatment performance of oily wastewater

Heliyon, 2023-07, Vol.9 (7), p.e17794-e17794, Article e17794

2023

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Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field

Water practice and technology, 2024-08, Vol.19 (8), p.3330-3349

2024

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In silico analysis of the use of solanine derivatives as a treatment for Alzheimer's disease

Heliyon, 2024-06, Vol.10 (11), p.e32209, Article e32209

2024

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Performance evaluation of a flighted rotary dryer for lateritic ore in concurrent configuration

Heliyon, 2023-11, Vol.9 (11), p.e21345-e21345, Article e21345

2023

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Defining the optimal conditions using FFNNs and NARX neural networks for modelling the extraction of Sc from aqueous solution by Cryptand-2.2.1 and Cryptand-2.1.1

Heliyon, 2023-11, Vol.9 (11), p.e21041-e21041, Article e21041

2023

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Corrigendum to “A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique” [Heliyon 9(4) (April 2023) e15455]

Heliyon, 2023-07, Vol.9 (7), p.e17675-e17675, Article e17675

2023

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A hybrid adsorption membrane process for removal of dye from synthetic and actual wastewater

Chemical engineering and processing, 2020-11, Vol.157, p.108113, Article 108113

2020

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Artificial neural network modelling for the removal of lead from wastewater by using adsorption process

Desalination and water treatment, 2021-12, Vol.244, p.110-119

2021

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Can electrocoagulation technology be integrated with wastewater treatment systems to improve treatment efficiency?

Environmental research, 2022-11, Vol.214, p.113890-113890, Article 113890

2022

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Studying the treatability of different types of nanoparticles for oil content removal from oily wastewater produced from refinery process

Egyptian Journal of Chemistry, 2020-12

2020

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Artificial neural network and response surface methodology for modeling reverse osmosis process in wastewater treatment

Journal of Industrial and Engineering Chemistry, 2024, 133(0), , pp.599-613

2024

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Investigating the capability of MCM-41 nanoparticle for COD removal from Iraqi petroleum refinery wastewater

AIP Conference Proceedings, 2023, Vol.2820 (1)

2023

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Prediction of Methyl Orange Dye (MO) Adsorption Using Activated Carbon with an Artificial Neural Network Software

SSRN Electronic Journal

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Response surface methodology for optimizing crude oil desalting unit performance in iraq

Chemical papers, 2024-10

2024

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Response surface methodology approach for optimization of biosorption process for removal of Hg(II) ions by immobilized Algal biomass Coelastrella sp

Colored Wastewater Treatment by Clathrate Hydrate Technique

Removal of Methyl Green Dye from simulated waste water using Hollow Fiber Ultrafiltration Membrane

Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling

Modeling of lead (II) ion adsorption on multiwall carbon nanotubes using artificial neural network and Monte Carlo technique

Contaminants Removal from Real Refinery Wastewater Associated with Energy Generation in Microbial Fuel Cell

A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique

Improving Crude Oil Flow Using Graphene Flakes under an Applied Electric Field

Fabrication and Characterization of Polyphenylsulfone/Titanium Oxide Nanocomposite Membranes for Oily Wastewater Treatment

Design of Artificial Neural Network for Prediction of Hydrogen Sulfide and Carbon Dioxide Concentrations in a Natural Gas Sweetening Plant

Studying the effect of reactor design on the electrocoagulation treatment performance of oily wastewater

Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field

In silico analysis of the use of solanine derivatives as a treatment for Alzheimer's disease

Performance evaluation of a flighted rotary dryer for lateritic ore in concurrent configuration

Defining the optimal conditions using FFNNs and NARX neural networks for modelling the extraction of Sc from aqueous solution by Cryptand-2.2.1 and Cryptand-2.1.1

Corrigendum to “A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique” [Heliyon 9(4) (April 2023) e15455]

A hybrid adsorption membrane process for removal of dye from synthetic and actual wastewater

Artificial neural network modelling for the removal of lead from wastewater by using adsorption process

Can electrocoagulation technology be integrated with wastewater treatment systems to improve treatment efficiency?

Studying the treatability of different types of nanoparticles for oil content removal from oily wastewater produced from refinery process

Artificial neural network and response surface methodology for modeling reverse osmosis process in wastewater treatment

Investigating the capability of MCM-41 nanoparticle for COD removal from Iraqi petroleum refinery wastewater

Prediction of Methyl Orange Dye (MO) Adsorption Using Activated Carbon with an Artificial Neural Network Software

Response surface methodology for optimizing crude oil desalting unit performance in iraq

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