Search Results - "AlOmar, Mohamed"
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Deep Eutectic Solvents (DESs) as Green Extraction Media of Beneficial Bioactive Phytochemicals
Published in Separations (01-10-2021)“…Deep eutectic solvents (DES) are a mixture of two or more components and are classified as ionic solvents with special properties such as low volatility, high…”
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Modification of Poly(vinylidene fluoride-co-hexafluoropropylene) Membranes with DES-Functionalized Carbon Nanospheres for Removal of Methyl Orange by Membrane Distillation
Published in Water (Basel) (01-05-2022)“…Chemical pollutants, such as methyl orange (MO), constitute the main ingredients in the textile industry wastewater, and specifically, the dyeing process. The…”
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Data-driven models for atmospheric air temperature forecasting at a continental climate region
Published in PloS one (03-11-2022)“…Atmospheric air temperature is the most crucial metrological parameter. Despite its influence on multiple fields such as hydrology, the environment,…”
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Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach
Published in Environmental progress & sustainable energy (01-11-2019)“…This work presents the experimental and modeling process for mercury ions removal from water using functionalized multi‐walled carbon nanotube as adsorbent…”
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Computational investigation of the microstructural characteristics and physical properties of glycerol-based deep eutectic solvents
Published in Journal of molecular modeling (01-10-2017)“…Recently, there has been significant interest in the possibility of using deep eutectic solvents (DESs) as novel green media and alternatives to conventional…”
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Optimization of the Synthesis of Superhydrophobic Carbon Nanomaterials by Chemical Vapor Deposition
Published in Scientific reports (09-02-2018)“…Demand is increasing for superhydrophobic materials in many applications, such as membrane distillation, separation and special coating technologies. In this…”
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Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model
Published in Advances in civil engineering (2022)“…In the construction and cement manufacturing sectors, the development of artificial intelligence models has received remarkable progress and attention. This…”
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8
Data-driven models for atmospheric air temperature forecasting at a continental climate region
Published in PloS one (03-11-2022)“…Atmospheric air temperature is the most crucial metrological parameter. Despite its influence on multiple fields such as hydrology, the environment,…”
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Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach
Published in Advances in civil engineering (2020)“…Saturated total dissolved gas (TDG) is recently considered as a serious issue in the environmental engineering field since it stands behind the reasons for…”
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10
Health related quality of life in ureteral stone patients: post-ureterolithiasis
Published in Urolithiasis (01-10-2011)“…Ureteral stones disease is among the most painful and prevalent among urologic disorders that can substantially impact health-related quality of life (HRQoL),…”
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The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach
Published in Water science and technology (01-11-2017)“…The main challenge in the lead removal simulation is the behaviour of non-linearity relationships between the process parameters. The conventional modelling…”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams
Published in Complexity (New York, N.Y.) (2022)“…The deep beam in load transfer is very important as well as difficult to design due to its shear stress problems. Accurate estimation of shear stress would…”
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13
Compaction Curves and Strength of Clayey Soil Modified with Micro and Nano Silica
Published in Materials (01-10-2022)“…Some Clayey soils are generally categorized as weak soils, and structures lying on such soils have been exposed to severe damage. Therefore, the central thesis…”
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14
Application of Artificial Intelligence Models for Evapotranspiration Prediction along the Southern Coast of Turkey
Published in Complexity (New York, N.Y.) (2021)“…Reference evapotranspiration ETo is one of the most significant factors in the hydrological cycle since it has a great influence on water resource planning…”
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15
Introducing high-order response surface method for improving scour depth prediction downstream of weirs
Published in Applied water science (01-06-2024)“…Scour depth downstream of weirs is considered one of the most important hydraulic problems, which greatly influences the stability of weirs. Recently,…”
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Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent
Published in International journal of molecular sciences (28-08-2019)“…Multi-walled carbon nanotubes (CNTs) functionalized with a deep eutectic solvent (DES) were utilized to remove mercury ions from water. An artificial neural…”
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The Influence of Data Length on the Performance of Artificial Intelligence Models in Predicting Air Pollution
Published in Advances in meteorology (30-09-2022)“…Air pollution is one of humanity's most critical environmental issues and is considered contentious in several countries worldwide. As a result, accurate…”
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BTPC-Based DES-Functionalized CNTs for As3+ Removal from Water: NARX Neural Network Approach
Published in Journal of environmental engineering (New York, N.Y.) (01-08-2018)“…AbstractIn this study, a novel adsorbent process was developed using a deep eutectic solvent (DES) system based on benzyltriphenylphosphonium chloride (BTPC)…”
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Antimycobacterial Activity of Rosmarinus officinalis (Rosemary) Extracted by Deep Eutectic Solvents
Published in Separations (01-10-2022)“…Tuberculosis (TB) is a massive problem for public health and is the leading cause of illness and death worldwide. Rosemary (Rosmarinus officinalis) is used…”
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Permeation Flux Prediction of Vacuum Membrane Distillation Using Hybrid Machine Learning Techniques
Published in Membranes (Basel) (01-12-2023)“…Vacuum membrane distillation (VMD) has attracted increasing interest for various applications besides seawater desalination. Experimental testing of membrane…”
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