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Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2‐based photocatalysts

Journal of chemical technology and biotechnology (1986), 2020-10, Vol.95 (10), p.2739-2749

2020

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Artificial Neural Network Modeling of Thermo-catalytic Methane Decomposition for Hydrogen Production

Topics in catalysis, 2021-05, Vol.64 (5-6), p.456-464

2021

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Enhancement of Ozonation Reaction for Efficient Removal of Phenol from Wastewater Using a Packed Bubble Column Reactor

Indonesian journal of chemistry, 2023-04, Vol.23 (2), p.383-394

2023

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Electrochemical removal of dye from a tanning process industrial wastewater

Chemical papers, 2023-10, Vol.77 (10), p.6311-6318

2023

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A Computational Fluid Dynamics Study of Liquid–Solid Nano-fluid Flow in Horizontal Pipe

Arabian journal for science and engineering (2011), 2022-05, Vol.47 (5), p.5577-5585

2022

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Artificial Intelligence Modelling Approach for the Prediction of CO-Rich Hydrogen Production Rate from Methane Dry Reforming

Catalysts, 2019-09, Vol.9 (9), p.738

2019

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An overview of the prospects of extracting collagens from waste sources and its applications

Chemical papers, 2021-11, Vol.75 (11), p.6025-6033

2021

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Catalytic Performance of Bimetallic Cobalt–Nickel/Graphene Oxide for Carbon Dioxide Reforming of Methane

ChemEngineering, 2023-12, Vol.7 (6), p.107

2023

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Effect of Textural Properties on the Degradation of Bisphenol from Industrial Wastewater Effluent in a Photocatalytic Reactor: A Modeling Approach

Applied sciences, 2023-08, Vol.13 (15), p.8966

2023

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Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: data driven modelling

IOP conference series. Earth and environmental science, 2021-06, Vol.779 (1), p.12001

2021

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Response Surface Optimization of Multilayer Graphene Growth on Alumina-Supported Bimetallic Cobalt–Nickel Substrate

Arabian journal for science and engineering (2011), 2020-09, Vol.45 (9), p.7455-7465

2020

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An overview of integration opportunities for sustainable bioethanol production from first- and second-generation sugar-based feedstocks

Journal of cleaner production, 2020-02, Vol.245, p.118857, Article 118857

2020

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The prospect and challenges of renewable hydrogen production in Iraq

IOP conference series. Materials Science and Engineering, 2020-02, Vol.737 (1), p.12197

2020

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Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial intelligence modeling technique

Journal of cleaner production, 2020-02, Vol.247, p.119168, Article 119168

2020

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Modeling the effect of process parameters on the photocatalytic degradation of organic pollutants using artificial neural networks

Process safety and environmental protection, 2021-01, Vol.145, p.120-132

2021

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One-step synthesis of magnetic fly ash composites for methylene blue removal: batch and column study

Environmental science and pollution research international, 2023-12, Vol.30 (60), p.124748-124766

2023

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Response surface optimization of hydrogen-rich syngas production by methane dry reforming over bimetallic Mn-Ni/La2O3 catalyst in a fixed bed reactor

International journal of hydrogen energy, 2024-07, Vol.76, p.386-395

2024

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Kinetic modeling and reaction pathways for thermo-catalytic conversion of carbon dioxide and methane to hydrogen-rich syngas over alpha-alumina supported cobalt catalyst

International journal of hydrogen energy, 2021-09, Vol.46 (60), p.30871-30881

2021

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Carbon dioxide reforming of methane over Ni-based catalysts: Modeling the effect of process parameters on greenhouse gasses conversion using supervised machine learning algorithms

Chemical engineering and processing, 2021-09, Vol.166, p.108484, Article 108484

2021

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Modelling and optimization of methylene blue adsorption from wastewater utilizing magnetic marble dust adsorbent: A response surface methodology approach

Materials today : proceedings, 2022, Vol.60, p.1676-1688

2022

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Process intensification of hydrogen production by catalytic steam methane reforming: Performance analysis of multilayer perceptron-artificial neural networks and nonlinear response surface techniques

Process safety and environmental protection, 2021-12, Vol.156, p.315-329

2021

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Synthesis of Nano-silica Particles using Eucalyptus globulus Leaf Extract and Their Innovative Application as an Adsorbent for Malachite Green Dye

Russian journal of applied chemistry, 2024-06

2024

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The potential of hydrogen production using chemical looping reforming reactor: A data-driven evaluation of process parameters effects

AIP Conference Proceedings, 2023, Vol.2787 (1)

2023

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Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO 2 ‐based photocatalysts

Journal of chemical technology and biotechnology (1986), 2020-10, Vol.95 (10), p.2739-2749

2020

Volltextzugriff (PDF)

Optimizing Photocatalytic Lead Removal from Wastewater Using ZnO/ZrO2: A Response Surface Methodology Approach

ChemEngineering, 2024-07, Vol.8 (4), p.72

2024

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Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2‐based photocatalysts

Artificial Neural Network Modeling of Thermo-catalytic Methane Decomposition for Hydrogen Production

Enhancement of Ozonation Reaction for Efficient Removal of Phenol from Wastewater Using a Packed Bubble Column Reactor

Electrochemical removal of dye from a tanning process industrial wastewater

A Computational Fluid Dynamics Study of Liquid–Solid Nano-fluid Flow in Horizontal Pipe

Artificial Intelligence Modelling Approach for the Prediction of CO-Rich Hydrogen Production Rate from Methane Dry Reforming

An overview of the prospects of extracting collagens from waste sources and its applications

Catalytic Performance of Bimetallic Cobalt–Nickel/Graphene Oxide for Carbon Dioxide Reforming of Methane

Effect of Textural Properties on the Degradation of Bisphenol from Industrial Wastewater Effluent in a Photocatalytic Reactor: A Modeling Approach

Attaining material sustainability by incorporating nanoparticles additives to improve the mechanical properties of polypropylene composites: data driven modelling

Response Surface Optimization of Multilayer Graphene Growth on Alumina-Supported Bimetallic Cobalt–Nickel Substrate

An overview of integration opportunities for sustainable bioethanol production from first- and second-generation sugar-based feedstocks

The prospect and challenges of renewable hydrogen production in Iraq

Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial intelligence modeling technique

Modeling the effect of process parameters on the photocatalytic degradation of organic pollutants using artificial neural networks

One-step synthesis of magnetic fly ash composites for methylene blue removal: batch and column study

Response surface optimization of hydrogen-rich syngas production by methane dry reforming over bimetallic Mn-Ni/La2O3 catalyst in a fixed bed reactor

Kinetic modeling and reaction pathways for thermo-catalytic conversion of carbon dioxide and methane to hydrogen-rich syngas over alpha-alumina supported cobalt catalyst

Carbon dioxide reforming of methane over Ni-based catalysts: Modeling the effect of process parameters on greenhouse gasses conversion using supervised machine learning algorithms

Modelling and optimization of methylene blue adsorption from wastewater utilizing magnetic marble dust adsorbent: A response surface methodology approach

Process intensification of hydrogen production by catalytic steam methane reforming: Performance analysis of multilayer perceptron-artificial neural networks and nonlinear response surface techniques

Synthesis of Nano-silica Particles using Eucalyptus globulus Leaf Extract and Their Innovative Application as an Adsorbent for Malachite Green Dye

The potential of hydrogen production using chemical looping reforming reactor: A data-driven evaluation of process parameters effects

Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO 2 ‐based photocatalysts

Optimizing Photocatalytic Lead Removal from Wastewater Using ZnO/ZrO2: A Response Surface Methodology Approach

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