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Wind Power Prediction Based on Machine Learning and Deep Learning Models

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Computers, Materials & Continua 2023年第1期74卷 715-732页

作者： Zahraa Tarek Mahmoud y.Shams Ahmed M.elshewey.el-Sayed M.el-kenawy Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Mohamed A.el-dosuky Faculty of Computers and Information Computer Science DepartmentMansoura UniversityMansoura35561Egypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Faculty of Computers and Information Computer Science DepartmentSuez UniversitySuezEgypt Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Arab East CollegesRiyadh13544Saudi Arabia

Wind power is one of the sustainable ways to generate renewable *** recent years,some countries have set renewables to meet future energy needs,with the primary goal of reducing emissions and promoting sustainable growth,primarily the use of wind and solar *** achieve the prediction of wind power generation,several deep and machine learning models are constructed in this article as base *** regression models are Deep neural network(DNN),k-nearest neighbor(KNN)regressor,long short-term memory(LSTM),averaging model,random forest(RF)regressor,bagging regressor,and gradient boosting(GB)*** addition,data cleaning and data preprocessing were performed to the *** dataset used in this study includes 4 features and 50530 *** accurately predict the wind power values,we propose in this paper a new optimization technique based on stochastic fractal search and particle swarm optimization(SFSPSO)to optimize the parameters of LSTM *** evaluation criteria were utilized to estimate the efficiency of the regression models,namely,mean absolute error(MAE),Nash Sutcliffe Efficiency(NSE),mean square error(MSE),coefficient of determination(R2),root mean squared error(RMSE).The experimental results illustrated that the proposed optimization of LSTM using SFS-PSO model achieved the best results with R2 equals 99.99%in predicting the wind power values.

关键词： Prediction of wind power data preprocessing performance evaluation

Weight Prediction Using the Hybrid Stacked-LSTM Food Selection Model

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Computer Systems Science & Engineering 2023年第7期46卷 765-781页

作者： Ahmed M.elshewey Mahmoud y.Shams Zahraa Tarek Mohamed Megahed el-Sayed M.el-kenawy Mohamed A.el-dosuky Faculty of Computers and Information Computer Science DepartmentSuez UniversitySuezEgypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Faculty of Computers and Information Computer Science DepartmentMansoura University35561Egypt Faculty of Physical Education Track and Field Competitions DepartmentArish UniversityEgypt Delta Higher Institute of Engineering and Technology Mansoura35111Egypt Department of Computer Science Arab East CollegesRiyadh13544Saudi Arabia

Food choice motives(i.e.,mood,health,natural content,convenience,sensory appeal,price,familiarities,ethical concerns,and weight control)have an important role in transforming the current food system to ensure the healthiness of people and the sustainability of the *** from several domains have presented several models addressing issues influencing food choice over the ***,a multidisciplinary approach is required to better understand how various aspects interact with one another during the decision-making *** this paper,four Deep Learning(DL)models and one Machine Learning(ML)model are utilized to predict the weight in pounds based on food *** Long Short-Term Memory(LSTM)model,stacked-LSTM model,Conventional Neural Network(CNN)model,and CNN-LSTM model are the used deep learning *** the applied ML model is the K-Nearest Neighbor(KNN)*** efficiency of the proposed model was determined based on the error rate obtained from the experimental *** findings indicated that Mean Absolute Error(MAE)is 0.0087,the Mean Square Error(MSE)is 0.00011,the Median Absolute Error(MedAE)is 0.006,the Root Mean Square Error(RMSE)is 0.011,and the Mean Absolute Percentage Error(MAPE)is ***,the results demonstrated that the stacked LSTM achieved improved results compared with the LSTM,CNN,CNN-LSTM,and KNN regressor.

关键词： Weight prediction machine learning deep learning LSTM CNN KNN

Reimagining Ancient Sichuan For the Digital Age

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Beijing Review 2025年第6期68卷 48-48页

作者： Melania el Khayat yenching Academy of Peking University

From January 12 to 15,I had the opportunity to participate in a cultural exploration event,held as part of the 2024 International Mini-Series Competition organized by China’s National Radio and Television *** place in Sichuan Province and titled the Mystical Shu Rhythm-Tianfu Journey,the event explored how the ancient heritage of the province can be integrated into micro dramas-a video entertainment format that has gained traction in recent years.

关键词： gained traction Ancient

Dynamics of Super Quantum Correlations and Quantum Correlations for a System of Three Qubits

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Communications in Theoretical Physics 2016年第4期65卷 447-452页

作者： F.Siyouri M.el Baz S.Rfifi y.Hassouni Laboratoire de Physique Theorique Departement de Physique Faculte des sciences Universite Mohammed V - AgdalAv. Ibn Battouta B.P. 1014 Agdal Rabat Morocco

The dynamics of quantum discord for two qubits independently interacting with dephasing reservoirs have been studied *** authors [***.A 88(2013) 034304] found that for some Bell-diagonal states(BDS)which interact with their environments the calculation of quantum discord could experience a sudden transition in its dynamics,this phenomenon is known as the sudden *** in the present paper,we analyze the dynamics of normal quantum discord and super quantum discord for tripartite Bell-diagonal states independently interacting with dephasing ***,we find that basis change does not necessary mean sudden change of quantum correlations.

关键词： super quantum discord normal quantum discord Bell-diagonal states measurement strength

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Green synthesis of iron oxide(Fe_3O_4)nanoparticles using two selected brown seaweeds:Characterization and application for lead bioremediation

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Acta Oceanologica Sinica 2016年第8期35卷 89-98页

作者： el-KASSAS Hala y. ALy.elDEEN Mohamed A. GHARIB Samiha M. National Institute of Oceanography and Fisheries Alexandria 21556Egypt

The exploitation of different plant materials for the biosynthesis of nanoparticles is considered a green technology because it does not involve any harmful chemicals. In this study, iron oxide nanoparticles（Fe3O4-NPs） were synthesized using a completely green biosynthetic method by reduction of ferric chloride solution using brown seaweed water extracts. The two seaweeds Padina pavonica（Linnaeus） Thivy and Sargassum acinarium（Linnaeus） Setchell 1933 were used in this study. The algae extract was used as a reductant of Fe Cl3 resulting in the phytosynthesis of Fe3O4-NPs. The phytogenic Fe3O4-NPs were characterized by surface plasmon band observed close to 402 nm and 415 nm; the obtained Fe3O4-NPs are in the particle sizes ranged from 10 to 19.5 nm and 21.6 to 27.4 nm for P. pavonica and S. acinarium, respectively. The strong signals of iron were reported in their corresponding EDX spectra. FTIR analyses revealed that sulphated polysaccharides are the main biomolecules in the algae extracts that do dual function of reducing the Fe Cl3 and stabilizing the phytogenic Fe3O4-NPs. The biosynthesized Fe3O4-NPs were entrapped in calcium alginates beads and used in Pb adsorption experiments. The biosynthesized Fe3O4-NPs alginate beads via P. pavonica（Linnaeus） Thivy had high capacity for bioremoval of Pb（91%） while that of S. acinarium（Linnaeus） Setchell 1933 had a capacity of（78%） after 75 *** values of the process parameters for the maximum Pb removal efficiency by Fe3O4-NPs alginate beads synthesized via P. pavonica（Linnaeus） Thivy were also estimated.

关键词： seaweeds iron oxide silver nanoparticles

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Diet fortification for mild and moderate picky eating in typically developed children:Opinion review of Middle East consensus

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World Journal of Clinical Pediatrics 2025年第1期14卷 139-148页

作者： Mohammed Al-Beltagi elie Choueiry Najat Alahmadi Zeinab Demerdash Wafaa Helmi Ayesh Khoula Al-Said Fatima Al-Haddad Sanaa y Shaaban Eslam Tawfik Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511Egypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Paediatric Intensive and Critical Care Unit Hospital Hôtel Dieu de FranceBeirut 166830BeyrouthLebanon Department of Pediatric Gastroenterology Hepatology and NutritionMadina Maternity and Children HospitalKing Salman Medical CityAlmadina Almonawarh 41412Almadina AlmonawarhSaudi Arabia Department of Gastroenterology Hepatology and NutritionAl Amiri HospitalKuwait City 999044Kuwait Department of Nutrition Altadawi Speciality HospitalDubai 1853DubayyUnited Arab Emirates Department of Paediatric Gastroenterology Royal HospitalMuscat 1331MuscatOman Department of Dietetic Salmaniya Medical ComplexGovernment HospitalsAl Salmaniya 12ManamaBahrain Department of Pediatrics Faculty of MedicineAin Shams UniversityCairo 11591Egypt Department of Paediatric Faculty of MedicineSuez UniversitySuez 41522Egypt Department of Paediatric Sheikh Khalifa Medical CityAbu Dhabi 00000Abu DhabiUnited Arab Emirates

BACKGROUND Picky eating is a commonly observed behavior among children globally,negatively impacting their physical and mental *** common characteristics distinguish peaky eaters,including food selectivity,food neophobia,and food avoidance,there is no clear definition to assess this *** to the unavailability of data regarding picky eating,it wasn’t easy to estimate its *** To develop a regional protocol to help healthcare professionals identify and manage mild and moderate picky eating *** A virtual roundtable discussion was held in April 2021 to gather the opinions of seven pediatricians and two pediatric dietitians from eight Middle Eastern countries who had great experience in the management of picky *** discussion covered different topics,including clearly defining mild and moderate picky eating,identifying the role of diet fortification in these cases,and the possibility of developing a systematic approach to diet *** The panel identified picky eating as consuming an inadequate amount and variety of foods by rejecting familiar and unfamiliar *** of the time,moderate picky eating cases had micronutrient deficiencies with over-or undernutrition;the mild cases only showed inadequate food consumption and/or poor diet *** attention to the organic red flags like growth faltering and development delay and behavioral red flags,including food fixation and anticipatory gagging,will help healthcare professionals evaluate the picky eaters and the caregivers to care for their *** dietary supplementation and commercial food fortification play an important role in picky eating,they were no benefit in the Middle *** The panel agreed that food fortification through a food-first approach and oral nutritional supplements would be the best for Middle Eastern *** recommendations would facilitate identifying and managing picky-eating children in the Middle East.

关键词： Picky eating Diet fortification Children Protocol Roundtable discussion Middle East

Multiscale characterization of the Albian-Cenomanian reservoir system behavior: A case study from the North East Abu Gharadig Basin, North Western Desert, Egypt

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Petroleum Science 2024年第6期21卷 3909-3936页

作者： Ola Rashad Ahmed Niazy.el-Barkooky Abd el-Moneim el-Araby Mohamed el-Tonbary Geology Department Faculty of Science Cairo University Capricorn Energy-Bapetco Joint Venture

Since its discovery in 2010, the NEAG 2 has been one of the most productive oil fields of the Badr el-Din Petroleum Company(BAPETCO) in the northern Western Desert of Egypt. The Albian-Cenomanian reservoir system has a unique performance but suffers from several issues hindering its *** latest production report in 2023, NEAG-2 Field was producing 1760 bbls of oil with 36500 bbls of water, i.e., 95% water cut. Despite that, the field has reached a 39% recovery factor but the reservoir forecast suggests a much higher recovery factor. Therefore, the NEAG 2 Field requires a comprehensive geological model to depict its reservoir heterogeneities better. We introduce a solid and integrated workflow to investigate the reservoir characters among different scales of geological heterogeneity and offer solutions to overcome some data gaps. After characterizing the reservoir elements by the structural,stratigraphic, petrographic, and petrophysical analyses, a machine learning-based method was applied to overcome the missing whole rock cores in creating a detailed electro-facies log for all field wells. The Neural-Network algorithm required the facies types to be grouped into definitive reservoir qualities to be applied. The resultant electro-facies log had a very good match with the input logs, which validated the facies grouping. This was followed by the porosity-permeability transforms, estimated from mobility data, to create a permeability curve for all field wells, despite the unavailability of core data. The reservoir was categorized into three rock types, each with a specific range of quality, signifying their different flow abilities which were supported by dynamic data. The Lower Bahariya-Kharita in NEAG 2 was ultimately concluded to be a complex heterogeneous reservoir with varying flow abilities and production *** recovery factor mismatch is due to unrecovered reserves, and a new production strategy should be introduced to reach the ultimate recove

关键词： NEAG 2 field Reservoir characterization Machine learning Neural network analysis Reservoir flow units Pressure analysis And drive mechanisms

预测多层岩石界面接触热阻的改进模型（英文）

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Journal of Central South University 2025年第01期 229-243页

作者：闻敏杰谢家豪李立辰田乙 el NAGGAR M.Hesham 梅国雄吴文兵 School of Civil Engineering and Architecture Zhejiang Sci-Tech University Faculty of Engineering Engineering Research Centre of Rock-Soil Drilling & Excavation and ProtectionMinistry of Education China University of Geosciences Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Geotechnical Research Centre Department of Civil and Environmental EngineeringWestern University Ocean College Zhejiang University

本研究提出了一种广义非完全热接触模型，用以预测多层复合结构界面间的接触热阻。基于Green-Lindsay(GL)热弹性理论，通过使用拉普拉斯变换方法，获得了多层复合结构温度增量和位移的半解析解，进而研究了热阻系数、局部系数、导热系... 详细信息

本研究提出了一种广义非完全热接触模型，用以预测多层复合结构界面间的接触热阻。基于Green-Lindsay(GL)热弹性理论，通过使用拉普拉斯变换方法，获得了多层复合结构温度增量和位移的半解析解，进而研究了热阻系数、局部系数、导热系数和比热容对响应的影响。结果表明，该广义非完全热接触模型能够更有效地描述非完全热接触问题。相应地，通过调整热阻系数和局部系数，它可以退化为其他热接触模型。

关键词：多层结构广义非完全热接触模型接触热阻 GL热弹性理论拉普拉斯变换

Antiviral effect of polyphenol rich plant extracts on herpes simplex virus type 1

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Food Science and Human Wellness 2018年第1期7卷 91-101页

作者： Sayed A.el-Toumy Josline y.Salib Walaa A.el-Kashak Christel Marty Gilles Bedoux Nathalie Bourgougnon Chemistry of Tannins Department National Research CentreDokki12622 CairoEgypt Chemistry of Natural Compounds Department National Research CentreDokki12622 CairoEgypt Centre de Rechercheet d’enseignement yves Coppens Campus de TohannicBP 57356017 VannesFrance

Evaluation of the anti-herpetic activity of 25 Egyptian plants extracts was investigated in vitro in this *** antiviral activity against Herpes Simplex Virus type 1(HSV-1)was done on Vero cell lines by cell *** two plants extracts;namely Euphorbia coopire(Euphorbiaceae)and Morus alba(Moraceae)showed potent anti-herpetic activity and six other extracts showed moderate *** contrast,a bioassay monitored phytochemical exploration of these two plants led to the isolation of pure flavonoid *** antiviral activity of the isolated compounds was also examined,among which seven pure compounds namely;7-galloyl catechin,gallic acid,kaempferol 3-O-β-(6″-O-galloyl)-glucopyranoside,quercetin 3-O-β-(6″-O-galloyl)-glucopyranoside,curcumin,quercetin and kaempferol exhibited significant inhibition.

关键词： Egyptian plants Anti-HSV-1 Polyphenols Vero cell

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