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View article: Application of MXenes in microbial fuel cells: A review
Application of MXenes in microbial fuel cells: A review Open
View article: Optimizing amine-based CO2 desorption with RSM: a pathway to energy-efficient post-combustion carbon capture
Optimizing amine-based CO2 desorption with RSM: a pathway to energy-efficient post-combustion carbon capture Open
This study investigates the optimization of amine-based CO₂ desorption in post-combustion carbon capture (CC) systems using response surface methodology (RSM) to enhance the CO₂ desorption efficiency (CDE%) and energy efficiency as well as…
View article: Optimization of separation and purification processes in diethyl ether production for improved efficiency and sustainability
Optimization of separation and purification processes in diethyl ether production for improved efficiency and sustainability Open
This study focuses on optimizing the separation and purification processes in diethyl ether (DEE) production to enhance energy efficiency, reduce waste, and improve product quality. Utilizing process simulation with Aspen-Hysys-V14, statis…
View article: Optimization of amine-based carbon capture: Simulation and energy efficiency analysis of absorption section
Optimization of amine-based carbon capture: Simulation and energy efficiency analysis of absorption section Open
Carbon capture is an essential technology in mitigating climate change by reducing greenhouse gas emissions, particularly CO2, from industrial and power generation sources. This study investigates the post-combustion carbon capture using a…
View article: A review of fabrication methods for biodegradable pH-Responsive nanocomposite microgels and their performance in enhanced oil recovery
A review of fabrication methods for biodegradable pH-Responsive nanocomposite microgels and their performance in enhanced oil recovery Open
View article: Modelling and optimization of fenton process for decolorization of azo dye (DR16) at microreactor using artificial neural network and genetic algorithm
Modelling and optimization of fenton process for decolorization of azo dye (DR16) at microreactor using artificial neural network and genetic algorithm Open
View article: Investigation the effects of operational parameters and multi-factor optimization of butene metathesis process via statistical approach
Investigation the effects of operational parameters and multi-factor optimization of butene metathesis process via statistical approach Open
In this study, the production of propylene from 2-butene and 1-butene via the metathesis process was investigated and simulated. The effects of operational parameters, including reactor temperature, residence time, and 1-butene/2-butene mo…
View article: Multi-factor optimization of bio-methanol production through gasification process via statistical methodology coupled with genetic algorithm
Multi-factor optimization of bio-methanol production through gasification process via statistical methodology coupled with genetic algorithm Open
This work innovatively explores the bio-methanol production process, conducts comprehensive analyses, develops statistical models, and optimizes operational conditions, contributing valuable insights to the field of sustainable energy prod…
View article: Optimization of removal of toluene from industrial wastewater using RSM Box–Behnken experimental design
Optimization of removal of toluene from industrial wastewater using RSM Box–Behnken experimental design Open
The study is concerned with the adsorption of toluene from real wastewater using granular beads of activated carbon. The adsorbent was analyzed before and after the process using Scanning Electron Microscope analysis to characterize its su…
View article: Machine learning-assisted methods for prediction and optimization of oxidative desulfurization of gas condensate via a novel oxidation system
Machine learning-assisted methods for prediction and optimization of oxidative desulfurization of gas condensate via a novel oxidation system Open
The aim of this study is to predict the efficiency of oxidative desulfurization method (in a gas–liquid oxidation system) for gas condensate using artificial intelligence (AI) systems such as Fuzzy Inference System, Adaptive Neuro-Fuzzy In…
View article: New Insights on the Adsorption of Phenol Red Dyes from Synthesized Wastewater using Activated Carbon Prepared from the Fe2(MoO4)3 -treated Mespilus Germanica Leaves: Equilibrium, Kinetic, and Thermodynamic Studies
New Insights on the Adsorption of Phenol Red Dyes from Synthesized Wastewater using Activated Carbon Prepared from the Fe2(MoO4)3 -treated Mespilus Germanica Leaves: Equilibrium, Kinetic, and Thermodynamic Studies Open
Water shortage is considered as one of the main challenges of human life. A practical solution to this problem is the wastewater treatment. The removal of dyes from wastewaters has received considerable critical attention by researchers du…
View article: Prediction and optimization of heavy metal ions removal efficiency from the active sludge using intelligent systems
Prediction and optimization of heavy metal ions removal efficiency from the active sludge using intelligent systems Open
View article: Simulation of turbulent convective heat transfer of γ-al2o3/water nanofluid in a tube by ann and anfis models
Simulation of turbulent convective heat transfer of γ-al2o3/water nanofluid in a tube by ann and anfis models Open
In order to modeling and predicting heat transfer coefficient in na nofluids, art ificial neural network (ANN) and Adaptive Neuro-fuzzy Inference system (ANFIS) were used in this study. In ANN and ANFIS, Input data are Reynolds number and …
View article: Numerical modeling of wastewater treatment using HOLLOW fiber membrane contactors based on the stiff spring method
Numerical modeling of wastewater treatment using HOLLOW fiber membrane contactors based on the stiff spring method Open
In this study the efficiency of a porous HOLLOW fiber membrane module (PHFMM) was studied using a simple and generic method. Stiff spring method (SSM) was applied in order to solve two-dimensional transient model equations of transport of …
View article: Thermodynamic and Artificial Intelligence Approaches of H2S Solubility in Some Imidazolium-Based Ionic Liquids
Thermodynamic and Artificial Intelligence Approaches of H2S Solubility in Some Imidazolium-Based Ionic Liquids Open
View article: Prediction of the continuous cadmium removal efficiency from aqueous solution by the packed-bed column using GMDH and ANFIS models
Prediction of the continuous cadmium removal efficiency from aqueous solution by the packed-bed column using GMDH and ANFIS models Open
View article: Review for "Modelling of the adsorption of urea herbicides by tropical soils with an Adaptive‐Neural‐based Fuzzy Inference System"
Review for "Modelling of the adsorption of urea herbicides by tropical soils with an Adaptive‐Neural‐based Fuzzy Inference System" Open
View article: Study on a new adsorbent for biosorption of cadmium ion from aqueous solution by activated carbon prepared from Ricinus communis
Study on a new adsorbent for biosorption of cadmium ion from aqueous solution by activated carbon prepared from Ricinus communis Open
View article: Adsorption of tetracycline antibiotic onto modified zeolite: Experimental investigation and modeling
Adsorption of tetracycline antibiotic onto modified zeolite: Experimental investigation and modeling Open
View article: Thermodynamical and artificial intelligence approaches of H2S solubility in N-methylpyrrolidone
Thermodynamical and artificial intelligence approaches of H2S solubility in N-methylpyrrolidone Open
View article: Comparing Two Methods of Neural Networks to Evaluate Dead Oil Viscosity
Comparing Two Methods of Neural Networks to Evaluate Dead Oil Viscosity Open
Reservoir characterization and asset management require comprehensive information about formation fluids. In fact, it is not possible to find accurate solutions to many petroleum engineering problems without having accurate pressure-volume…
View article: Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite
Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite Open
In the present paper, the adaptive neural fuzzy inference system (ANFIS) was used for modeling of magnetic chitosan adsorption performance for the methyl orange removal. The ANFIS network, which is the best in data predicting, was trained …
View article: Stock market index prediction using artificial neural network
Stock market index prediction using artificial neural network Open
In this study the ability of artificial neural network (ANN) in forecasting the daily NASDAQ stock exchange rate was investigated. Several feed forward ANNs that were trained by the back propagation algorithm have been assessed. The method…
View article: Erratum to: Neuro-fuzzy modeling of the convection heat transfer coefficient for the nanofluid
Erratum to: Neuro-fuzzy modeling of the convection heat transfer coefficient for the nanofluid Open
View article: Neural network prediction of the Fischer-Tropsch synthesis of natural gas with Co (III)/Al2O3 catalyst
Neural network prediction of the Fischer-Tropsch synthesis of natural gas with Co (III)/Al2O3 catalyst Open
Application of Co (III)/Al2O3 catalyst in Fischer-Tropsch synthesis (FTS) was studied in a wide range of synthesis gas conversions and compared with ANN Simulation results. Present study applies Neural Network model to predict composition …