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| 1 | Micromechanical Modeling of Crack-aggregate Interaction in Concrete Materials 显示文摘 | Ashraf Ragab Mohamed Will Hansen | 1999 | Cement & Concrete Composites1999，，21： | 1 |
| 2 | NPHS2 mutations显示文摘 | Ashraf Bakr Soheir Yehia Doaa El-Ghannam Ayman Hammad Mohamed Ragab Amr Sarhan Fatma Al-Husseni Zakaria Al-Morsy | 2008 | The Indian Journal of Pediatrics2008，，2： | 1 |
| 3 | Micromechanical modeling of concrete response under static loading-Part Ⅰ: Model Development and Validation显示文摘 | Ashraf Ragab Mohamed and Will Hansen | 1999 | ACI Materials Journal1999，96，2： | 1 |
| 4 | A quantitative analysis of strain at adjacent segments after segmental immobilization of the cervical spine显示文摘 | Ashraf A Ragab MD Anthony J | 2006 | J Spinal Disord Tech2006，19，： | 1 |
| 5 | Micromechanical modeling of crack - aggregate interaction in concrete materials显示文摘 | Ashraf Ragab Mohamed Will Hansen | 1999 | Cement & Concrete Composites 211999，，： | 1 |
| 6 | A random- ized comparative study between selective walking spinal anesthe sia and general anesthesia {or anorectal surgeries in outpatient settings Peer review under responsibility of Egyptian Society o{ Anesthesiologists显示文摘 | Hossam I Eldesuky Mohamed Ibrahim ashraf ragab | 2013 | Egyptian Journal of Anaesthesia2013，29，2： | 1 |
| 7 | Micromechanical modeling of concrete response under static loading - Part Ⅰ:Model Development and Validation 显示文摘 | Will Hansen | 1999 | ACI Materials Journal1999，96，2： | 1 |
| 8 | Optimized Artificial Neural Network Techniques to Improve Cybersecurity of Higher Education Institution显示文摘Education acts as an important part of economic growth and improvement in human welfare.The educational sectors have transformed a lot in recent days,and Information and Communication Technology(ICT)is an effective part of the education field.Almost every action in university and college,right from the process fromcounselling to admissions and fee deposits has been automated.Attendance records,quiz,evaluation,mark,and grade submissions involved the utilization of the ICT.Therefore,security is essential to accomplish cybersecurity in higher security institutions(HEIs).In this view,this study develops an Automated Outlier Detection for CyberSecurity in Higher Education Institutions(AOD-CSHEI)technique.The AOD-CSHEI technique intends to determine the presence of intrusions or attacks in the HEIs.The AOD-CSHEI technique initially performs data pre-processing in two stages namely data conversion and class labelling.In addition,the Adaptive Synthetic(ADASYN)technique is exploited for the removal of outliers in the data.Besides,the sparrow search algorithm(SSA)with deep neural network(DNN)model is used for the classification of data into the existence or absence of intrusions in the HEIs network.Finally,the SSA is utilized to effectually adjust the hyper parameters of the DNN approach.In order to showcase the enhanced performance of the AOD-CSHEI technique,a set of simulations take place on three benchmark datasets and the results reported the enhanced efficiency of the AOD-CSHEI technique over its compared methods with higher accuracy of 0.9997. | Abdullah Saad AL-Malaise AL-Ghamdi Mahmoud Ragab Maha Farouk S.Sabir Ahmed Elhassanein Ashraf A.Gouda | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 9 | PV Solar Yield Applicable Simulator Based on Free Irradiance Data Source:Applied Comprehensive Tool for Solar Engineers显示文摘Accurate PV system simulators are implemented with expensive software platforms using paid irradiance data.The main purpose of this paper is to develop and validate a PV system simulator,beginning with a solar cell parameter extraction model,then test and validate long-termIrradiance data using free online source(Typical Meteorological Year TMY in(PVGIS)European website),and finally building full solar generator simulator to run in working real conditions.Comparing results with Accurate Paid PV simulators(which use theMuneer model)showed good accuracy of the proposed simulator.Work flow starts with the Irradiance model’s data processing,then solar cell 5 parameters model data processing(to extract cell parameters),and finally full system simulator.MATLAB coding programs in real working conditions are used for simulation.Results of solar cell parameter extraction show 99.6%to 99.99%matching with data sheet and cell performance under standard test conditions.Systemmodel simulation output shows 8%less yearly generated energy compared to the PVGIS 2022 long-term simulation(hourly basis(one-year time)).This is due to incident energy variations(between the years 2016 and 2022)of 4.02%.The novelty of the algorithm is the methodology,as it tests irradiance data on an hourly basis and validates results for a whole continuous year.Also,the 5-parameter solar cell model is used to be validated in long term analysis,not only STC conditions and could be applied on any PV solar cell.The algorithm and block diagramused are scalable,modular,and interchangeable with similarmodels to be tested.This simulator could test severalmethods andmodels in solar pv technology. | Ahmed Mohamed Ragab Abdelhalim Abdelnaby Zekry Ashraf Yahia Hassan | 2023 | Energy Engineering2023，120，4： | 0 |
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