Search Results - "Ghriga, Mohammed Abdelfetah"
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Robust smart schemes for modeling carbon dioxide uptake in metal − organic frameworks
Published in Fuel (Guildford) (01-03-2022)“…•CO2 uptake in MOFs was modeled using MLP-LMA, MLP-BR, ELM, and GP.•The proposed models demonstrated accurate prediction performance.•The MLP-LMA outperformed…”
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2
Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock
Published in Engineering with computers (01-04-2022)“…The geomechanical properties of rock, including shear strength (SS) and uniaxial compressive strength (UCS), are very important parameters in designing rock…”
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3
Hybrid soft computational approaches for modeling the maximum ultimate bond strength between the corroded steel reinforcement and surrounding concrete
Published in Neural computing & applications (01-06-2021)“…The capacity efficiency of load carrying with the accurate serviceability performances of reinforced concrete (RC) structure is an important aspect, which is…”
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Investigating the viscoelastic behavior of partially hydrolyzed polyacrylamide/polyethylenimine mixtures
Published in Journal of polymer research (01-08-2021)“…In this paper, the viscoelastic behavior of a polyethylenimine (PEI) crosslinked polymer gel prepared with a low hydrolysis/high molecular weight hydrolyzed…”
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Experimental design methodology as a tool to optimize the adsorption of new surfactant on the Algerian rock reservoir: cEOR applications
Published in European physical journal plus (01-09-2019)“… In this research work, a new surfactant called surf EOR ASP 5100 used in the SWCTT (single well chemical tracer test) in the Algerian oilfield and sodium…”
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6
Optimization of zero-shear viscosity for HPAM-Polystyrene microspheres formulations through experimental design approach
Published in Journal of polymer research (01-04-2021)“…In this work, the reinforcing effects of polystyrene microspheres in a hydrolyzed polyacrylamide (HPAM) matrix was studied. The experimental design approach…”
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Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids
Published in Applied sciences (01-01-2020)“…Estimating the solubility of carbon dioxide in ionic liquids, using reliable models, is of paramount importance from both environmental and economic points of…”
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Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents
Published in Journal of cleaner production (20-08-2022)“…Sulfur dioxide (SO2) is one of the main atmospheric pollutants and an active threat to human health. SO2 separation from industrial flue gases improves air…”
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On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems
Published in Journal of the Taiwan Institute of Chemical Engineers (01-01-2021)“…Ionic Liquids (ILs) are increasingly emerging as new innovating green solvents with great importance from academic, industrial, and environmental perspectives…”
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10
State-of-the-art review on recent advances in polymer engineering: modeling and optimization through response surface methodology approach
Published in Polymer bulletin (Berlin, Germany) (01-06-2023)“…Composites, blends, and polymer membranes are all examples of processes that may benefit from response surface methodology (RSM) to optimize material…”
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Review of recent advances in polyethylenimine crosslinked polymer gels used for conformance control applications
Published in Polymer bulletin (Berlin, Germany) (01-11-2019)“…Several crosslinked polymer gels have been developed over the last 5 decades to address the different technical challenges in oil reservoirs especially…”
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12
Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming
Published in Journal of the Taiwan Institute of Chemical Engineers (01-11-2021)“…•The solubility of N2O in ILs was modeled using CFNN-LM, RBFNN-PSO, and GEP.•Comprehensive measurements were employed for developing the paradigms.•The…”
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13
Prediction of Lattice Constant of A 2 XY 6 Cubic Crystals Using Gene Expression Programming
Published in The journal of physical chemistry. B (16-07-2020)“…Lattice constant is one of the paramount parameters that mark the quality of thin film fabrication. Numerous research efforts have been made to calculate and…”
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14
Prediction of Lattice Constant of A2XY6 Cubic Crystals Using Gene Expression Programming
Published in The journal of physical chemistry. B (16-07-2020)“…Lattice constant is one of the paramount parameters that mark the quality of thin film fabrication. Numerous research efforts have been made to calculate and…”
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15
Application of gene expression programming for predicting density of binary and ternary mixtures of ionic liquids and molecular solvents
Published in Journal of the Taiwan Institute of Chemical Engineers (01-12-2020)“…5•Gene expression programming was implemented for predicting density of binary and ternary mixtures of ILs and molecular solvents.5•The proposed correlations…”
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16
Structure–property relationships of the thermal gelation of partially hydrolyzed polyacrylamide/polyethylenimine mixtures in a semidilute regime
Published in Polymer bulletin (Berlin, Germany) (01-03-2020)“…In this work, the structure–property relationships of the thermal gelation of partially hydrolyzed polyacrylamide (PHPA) and polyethylenimine (PEI) mixtures…”
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Thermal gelation of partially hydrolysed polyacrylamide/polyethylenimine mixtures using design of experiments approach
Published in Materials today communications (01-12-2019)“…[Display omitted] •Doehlert design as a robust tool for gelation time modulization of PHPA/PEI mixtures.•Four process variables of the PHPA/PEI gelation time…”
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Understanding the Factors Affecting the Adsorption of Surface-Active Agents onto Reservoir Rock in Chemical Enhanced Oil Recovery Applications: A Comprehensive Review
Published in Chemistry Africa (01-07-2024)“…This comprehensive review delves into the recent advancements in the study of surfactant adsorption, a crucial factor influencing the efficiency of chemical…”
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Modeling viscosity of CO2 at high temperature and pressure conditions
Published in Journal of natural gas science and engineering (01-05-2020)“…The present work aims at applying Machine Learning approaches to predict CO2 viscosity at different thermodynamical conditions. Various data-driven techniques…”
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