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Results for “"Reham R. Mostafa"”

11 results

Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms

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Rana Muhammad Adnan, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Özgür Kişi et al.

Journal: Computers and Electronics in AgricultureYear: 2021Citations: 122
Physical Sciences
Environmental Science
Environmental Engineering
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Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data

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Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam et al.

Journal: Geocarto InternationalYear: 2022Citations: 63

The accurate assessment of groundwater levels is critical to water resource management. With global warming and climate change, its significance has become increasingly evident, particularly in arid and semi-arid areas. This study compares new extreme learning machines (ELM) methods tuned with metah...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Roles of Exogenous α-Lipoic Acid and Cysteine in Mitigation of Drought Stress and Restoration of Grain Quality in Wheat

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Amr Elkelish, Mohamed M. El-Mogy, Gniewko Niedbała, Magdalena Piekutowska et al.

Journal: PlantsYear: 2021Citations: 52

Cysteine (Cys) and α-lipoic acid (ALA) are naturally occurring antioxidants (sulfur-containing compounds) that can protect plants against a wide spectrum of environmental stresses. However, up to now, there are no conclusive data on their integrative roles in mitigation of drought stress in wheat pl...

Life SciencesBiochemistry, Genetics and Molecular BiologyBiochemistryOpen Access
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Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods

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Rana Muhammad Adnan, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Alireza Docheshmeh Gorgij et al.

Journal: WaterYear: 2021Citations: 51

Drought modeling is essential in water resources planning and management in mitigating its effects, especially in arid regions. Climate change highly influences the frequency and intensity of droughts. In this study, new hybrid methods, the random vector functional link (RVFL) integrated with partic...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Application of novel binary optimized machine learning models for monthly streamflow prediction

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Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam et al.

Journal: Applied Water ScienceYear: 2023Citations: 42

Abstract Accurate measurements of available water resources play a key role in achieving a sustainable environment of a society. Precise river flow estimation is an essential task for optimal use of hydropower generation, flood forecasting, and best utilization of water resources in river engineerin...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction

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Rana Muhammad Adnan Ikram, Reham R. Mostafa, Zhihuan Chen, Abu Reza Md. Towfiqul Islam et al.

Journal: AgronomyYear: 2022Citations: 42

Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field, provides precise reference evapotranspiration (ETo) prediction that is highly important for water resource availability and hydrological studies. However, hybrid MAs are quite scarcely used to predict ETo in ...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Application of Advanced Optimized Soft Computing Models for Atmospheric Variable Forecasting

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Rana Muhammad Adnan, Sarita Gajbhiye Meshram, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam et al.

Journal: MathematicsYear: 2023Citations: 20

Precise Air temperature modeling is crucial for a sustainable environment. In this study, a novel binary optimized machine learning model, the random vector functional link (RVFL) with the integration of Moth Flame Optimization Algorithm (MFO) and Water Cycle Optimization Algorithm (WCA) is examined...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Self-reported antibiotic stewardship and infection control measures from 57 intensive care units: An international ID-IRI survey

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Rehab El-Sokkary, Hakan Erdem, Ravina Kullar, Abdullah Umut Pekok et al.

Journal: Journal of Infection and Public HealthYear: 2022Citations: 20

We explored the self-reported antibiotic stewardship (AS), and infection prevention and control (IPC) activities in intensive care units (ICUs) of different income settings. A cross-sectional study was conducted using an online questionnaire to collect data about IPC and AS measures in participating...

Life SciencesImmunology and MicrobiologyApplied Microbiology and BiotechnologyOpen Access
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Vaccine hesitancy and refusal among parents: An international ID-IRI survey

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Yakup Çağ, M. Emad Al Madadha, Handan Ankaralı, Yasemin Çağ et al.

Journal: The Journal of Infection in Developing CountriesYear: 2022Citations: 19

INTRODUCTION: Although vaccines are the safest and most effective means to prevent and control infectious diseases, the increasing rate of vaccine hesitancy and refusal (VHR) has become a worldwide concern. We aimed to find opinions of parents on vaccinating their children and contribute to availabl...

Social SciencesHealthVaccine Coverage and HesitancyOpen Access
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Improved protection and comfort of barrier clothing via moisture-permeable poly (vinyl alcohol)–superabsorbent polymer nanofibrous membrane

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Reham Mostafa Mohammad, Ayub Ali, Md. Firoz Hossain, M. A. Rahman Bhuiyan et al.

Journal: Journal of Materials Research and TechnologyYear: 2023Citations: 13

Increased growth has been observed in the application area of superabsorbent polymer (SAP), where unique liquid absorption characteristics are the prime concern. Such profound characteristics of SAP have made it an ideal material to employ in barrier clothing for improved moisture absorption. This r...

Physical SciencesMaterials SciencePolymers and PlasticsOpen Access
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Synergistic Effect of Henna and Betel Leaf Extract on Dyeing and Antimicrobial Performance of Silk Fabric

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M. A. Rahman Bhuiyan, Md Abu Bakkar, Ayub Ali, Md Nur Uddin et al.

Journal: Fibers and PolymersYear: 2024Citations: 4
Physical SciencesEngineeringBuilding and Construction
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