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Wind Power Prediction Based on Machine Learning and Deep Learning Models

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

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Review on friction stir welding of dissimilar magnesium and aluminum alloys: Scientometric analysis and strategies for achieving high-quality joints

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Journal of Magnesium and Alloys 2023年第11期11卷 4082-4127页

作者： Mohamed M.Z.ahmed Mohamed M.el-Sayed Seleman Dariusz Fydrych Gürel ÇAM Department of Mechanical Engineering College of Engineering at Al KharjPrince Sattam Bin Abdulaziz UniversityAl Kharj 11942Saudi Arabia Department of Metallurgical and Materials Engineering Faculty of Petroleum and Mining EngineeringSuez UniversitySuez 43512Egypt Faculty of Mechanical Engineering and Ship Technology Institute of Machines and Materials TechnologyGdańsk University of TechnologyGabriela Narutowicza Street 11/12Gdańsk 80-233Poland Department of Mechanical Engineering Iskenderun Technical UniversityIskenderunHatay 31200Turkiye

Magnesium and aluminum alloys continually attract interest as lightweight structural materials for transport applications. However, joining these dissimilar alloys is very challenging. The main obstacle that hinders progress in dissimilar Mg-Al joining is the formation of brittle intermetallic compounds(IMCs). As a solid-state joining technique, FSW is an excellent candidate to attenuate the deleterious IMC effects in dissimilar Al-Mg joining due to the inherent low heat inputs involved in the process. However, the IMCs, namely Al_(3)Mg_(2) and Al_(12)Mg_(17) phases, have also been reported to form during Al-Mg dissimilar FSW;their amount and thickness depend on the heat input involved;thus,the weld parameters used. Since the heat dissipated in the material during the welding process significantly affects the amount of IMCs,the heat input during FSW should be kept as low as possible to control and reduce the amount of IMCs. This review aims to critically discuss and evaluate the studies conducted in the dissimilar Al/Mg FSW through a scientometric analysis and also with a focus on the strategies recently applied to enhance joint quality. The scientometric analysis showed that the main research directions in Mg/Al FSW are the technological weldability of aluminum and magnesium during FSW, structural morphology, and mechanical properties of dissimilar welded joints. Considering the scope of application of the aforementioned joints, the low share of articles dealing with environmental degradation and operational cracking is surprising. This might be attributed to the need for well-developed strategies for obtaining high-quality and sustainable joints for applications. Thus, the second part of this review is conventional, focusing mainly on the new strategies for obtaining high-quality Mg/Al joints. It can be concluded that in addition to the necessity to optimum welding parameters to suppress the excessive heat to limit the amount and thickness of IMC formed and improv

关键词： Friction stir welding(FSW) Al-alloys Mg-alloys Dissimilar material welding Intermetallics Weld performance

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Influence of preceding crop and tillage system on forage yield and quality of selected summer grass and legume forage crops under arid conditions

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Journal of Integrative Agriculture 2022年第11期21卷 3329-3344页

作者： Hend H.M.HASSAN el-Sayed E.A.el-SOBKY elsayed MANSOUR ahmed S.M.el-KHOLY Mohamed F.AWAD Hayat ULLAH Avishek DATTA Forage Crops Research Department Field Crops Research InstituteAgricultural Research CenterGiza 12619Egypt Agronomy Department Faculty of AgricultureZagazig UniversityZagazig 44519Egypt Department of Biology College of ScienceTaif UniversityTaif 21944Saudi Arabia Agricultural Systems and Engineering Department of FoodAgriculture and BioresourcesSchool of EnvironmentResources and DevelopmentAsian Institute of TechnologyKlong LuangPathum Thani 12120Thailand

Among the crop production factors,preceding crop and tillage management affect the sustainable use of soil resources and ultimately crop growth and *** study aimed at investigating the impact of preceding winter crops(grass or legume)and different tillage systems on forage yield,quality and nutritive values of three summer grass(Sudan grass,pearl millet and teosinte)and two legume forage crops(cowpea and guar)under arid *** results exhibited that growing forage crops after legumes(as berseem clover)produced the highest fresh and dry forage yields and quality attributes compared with grasses(as wheat)with the exception of crude fiber content,which was ***,tillage practices showed positive impact on forage yields and quality *** maximum forage yields and quality parameters were recorded under conventional tillage(CT)practice compared with reduced tillage(RT)and no-tillage(NT)*** the evaluated crops,the highest yields of fresh forage,dry forage,crude fiber,crude protein and total digestible nutrient were exhibited by grass forage crops(Sudan grass,pearl millet and teosinte),whereas the highest crude protein content and the digestible energy values were produced by legume forage crops(cowpea and guar).The maximum fresh forage,dry forage,crude fiber,crude protein,total digestible nutrient and digestible crude protein yields were produced by pearl millet followed by Sudan grass under CT and RT after berseem *** highest net return was recorded by sowing pearl millet after berseem clover and applying CT followed by RT practices,which could be recommended for the commercial ***,it could be assumed that the combination of growing grass forage crops after legume crops under CT or RT systems could enhance forage crop yield and quality with an improvement in soil properties for sustainable agriculture with low cost and the highest net income.

关键词： soil tillage preceding crop forage quality nutritive values net return

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Improved RC6 Block Cipher Based on Data Dependent Rotations

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Computers, Materials & Continua 2022年第1期70卷 1921-1934页

作者： Osama S.Faragallah Ibrahim F.elashry ahmed AlGhamdi Walid el-Shafai S.el-Rabaie Fathi E.Abd el-Samie Hala S.el-sayed Mohamed A.elaskily Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of electrical Communications Faculty of EngineeringKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt Department of Informatics Electronic Research Institute(ERI)CairoEgypt

This paper introduces an Improved RC6(IRC6)cipher for data encryption based on data-dependent *** proposed scheme is designed with the potential of meeting the needs of the Advanced Encryption Standard(AES).Four parameters are used to characterize the proposed *** parameters are the size of the word(w)in bits,the number of rounds(r),the length of the secret key(b)in bytes,and the size of the block(L)in *** main feature of IRC6 is the variable number of working registers instead of just four registers as in RC6,resulting in a variable block size for plaintext and *** IRC6 cipher is designed to improve the robustness against attacks by increasing the diffusion for each round and providing greater security with fewer *** effectiveness of the proposed IRC6 scheme is verified against theoretical *** proposed IRC6 scheme depends on full diffusion and confusion mechanisms regardless of the utilized block *** proposed IRC6 scheme saves 70%of the encryption time and 64%of the decryption time of *** simulation results prove that the IRC6 achieves a better encryption/decryption time compared to the ***,the proposed IRC6 is anticipated to fulfill the market needs and system security requirements.

关键词： Cryptography block cipher RC6,IRC6,AES

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A New Intelligent Approach for Deaf/Dumb People based on Deep Learning

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Computers, Materials & Continua 2022年第9期72卷 6045-6060页

作者： Haitham elwahsh ahmed elkhouly Emad Abouel Nasr Ali K.Kamrani Engy el-shafeiy Computer Science Department Faculty of Computers and InformationKafrelsheikh UniversityKafrelsheikhEgypt Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh 11421Saudi Arabia Industrial Engineering Department College of EngineeringUniversity of HoustonHoustonTX 77204-4008USA Department of Computer Science Faculty of Computers and Artificial IntelligenceUniversity of Sadat CitySadat CityEgypt

People who are deaf or have difficulty speaking use sign language,which consists of hand gestures with particular motions that symbolize the“language”they are communicating.A gesture in a sign language is a particular movement of the hands with a specific shape from the fingers and whole *** this paper,we present an Intelligent for Deaf/Dumb People approach in real time based on Deep Learning using Gloves(IDLG).The approach IDLG offers scientific contributions based deep-learning,a multimode command techniques,real-time,and effective use,and high accuracy *** this purpose,smart gloves working in real time were *** data obtained from the gloves was processed using deep-learning-based approaches and classified multi-mode commands that allow dumb people to speak with regular people via their smart ***,the glove has five flex sensors and an accelerometer using to achieve Low-Cost Control *** flex sensor generates a proportional change in resistance for each individual *** processing of these hand gestures is in Atmega32A Microcontroller which is an advance version of the microcontroller and the lab view *** compares the input signal to memory-stored specified voltage *** performance of the IDLG approach was verified on a dataset created using different hand gestures from 20 different *** the test using the IDLG approach on 10,000 data points,process time performance of milliseconds was achieved with 97%accuracy.

关键词： Deep learning flex sensor labview Atmega32A low-cost control system accelerometer intelligent glove

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Micropunch grafting for healing of refractory chronic venous leg ulcers

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Chinese Journal Of Plastic and Reconstructive Surgery 2022年第4期4卷 166-170页

作者： Aya Mohamed Samy Mostafa Abd el-Halim ahmed Hassan el-Sabbagh Department of Plastic and Reconstructive Surgery Mansoura University HospitalMansoura 35516Egypt Plastic Surgery Center Faculty of MedicineMansoura UniversityMansoura 35516Egypt

Background: Chronic venous ulcers are a serious problem for both patients and physicians. The CEAP classification(clinical manifestations(C), etiologic factors(E), anatomic distribution of disease(A), and underlying pathophysiologic findings(P)) for chronic venous disorders(CVD) was developed in 1994. Published papers on CVD use all or part of the CEAP. Micropunch grafts, which are a variation of skin grafts, have been used with great success in plastic surgery for both esthetic and reconstructive purposes. This study aimed to assess the outcomes of micropunch grafting in the treatment of chronic refractory venous ***: Patients with chronic venous ulcers who did not respond to conservative treatment for more than 6months were included in the study. All patients underwent ulcer coverage by micropunch skin grafts using a micrometer. The patients were discharged on the same day as the surgery. Micropunch skin grafts were manually counted per square centimeter intraoperatively and during follow-up using Dermlite DermatoschopeTM II Pro *** satisfaction was assessed by using a ***: Twenty patients underwent the surgery. Most of the patients were middle-aged males. The ulcers were predominantly small-and medium-sized. The mean operation time was 167.00 ± 86.01 min. After 6 months, the survival rate of the planted micrografts was 84%. Three ulcers had graft loss and two patients had an infection at the ulcer site, which was managed conservatively. The patients were followed-up for 14 ***: Micropunch grafting is a useful and convenient method for the treatment of difficult venous ulcers and can be performed on an outpatient basis.

关键词： Venous ulcer Micropunch grafting

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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

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Predictors of time-to-nadir serum creatinine after drainage of bilaterally obstructed kidneys due to bladder cancer

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当代泌尿学（英文） 2023年第4期17卷 246-250页

作者： Rabea ahmed Gadelkareem ahmed Mahmoud Abdelraouf Abdelfattah Ibrahim ahmed ahmed Mohammed el-Taher Hosny Mahmoud Behnsawy Assiut Urology and Nephrology Hospital Faculty of MedicineAssiut UniversityAssiutEgypt

Background:There are persistent controversies about the outcomes and benefits of drainage of malignant ureteral obstruction by per-cutaneous nephrostomy(PCN).This study aimed to assess the predictors of the time-to-nadir(TTN)of serum creatinine(SCr)levels after drainage of bilaterally obstructed kidneys(BOKs)due to bladder cancer(BC)by PCN.Materials and methods:This prospective nonrandomized study included patients with BOKs due to BC treated by PCN between April 2019 and March *** primary outcome measure was TTN.Results:Of the 55 patients with a median age(range)of 66 years(47-86 years),32(58.2％)had a normal nadir SCr and 23(41.8％)had a high nadir SCr within 21 days after drainage of BOKs due to *** nadir SCr was associated with a higher mean age(p=0.011)and lower body mass index(BMI,p=0.043).However,patients with normal nadir SCr had a significantly shorter TTN(p=0.023)and an increased mean SCr trajectory(p＜0.001)during *** multivariate analysis,low urine output at presentation(p=0.021)and high BMI(p=0.006)were associated with longer ***,the mean parenchymal thickness(p=0.428)and laterality of drainage(p=0.466)were not associated with the mean TTN and SCr normalization *** to the modified Clavien-Dindo classification,8 cases of hematuria were managed conservatively(grade 2),and 2 cases of PCN slippage were repositioned using local anesthesia(grade 3).Conclusions:Despite the safety of PCN for drainage of BOKs due to BC,more than 41％of the patients failed to have a normal nadir *** low urine output and high BMI were associated with longer *** of drainage had no significant effects on the TTN and SCr trajectory.

关键词： Bilaterally obstructed kidneys Bladder cancer Malignant ureteral obstruction Percutaneous nephrostomy Serum creatinine Time-to-nadir

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Prediction of fold-of-increase in productivity index post limited entry fracturing using artificial neural network

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Petroleum Research 2022年第2期7卷 236-245页

作者： Shady Galal Ramah Mohamed Abdalla Othman ahmed Z.Nouh Tarek el-Kwidy Faculty of Petroleum Engineering Suez UniversityEgypt Qarun Petroleum Company Egypt Egyptian Petroleum Research Institute Egypt American University in Cairo Egypt

Unified Fracture Design(UFD)bridges the gap between practices and theory in the hydraulic fracturing *** represents a technique to design hydraulic fracturing treatment with a particular amount of *** design could provide the maximum fold-of-increase(FOI)in productivity-index(PI)after hydraulic fracturing *** UFD optimization tool is very effective,but it has assumptions like any other *** assumption of UFD optimization technique;is a single-layer *** assumption does not align with the limited entry fracturing design *** limited entry fracturing,the frictional pressure is employed to offset the stress differences between multi-layers reservoirs to attain fluid injection through these layers,intended to deliver an optimal fracture conductivity in all *** drawback of this assumption is the underestimation of the actual value of FOI in *** paper aims to recast the original unified fracture design approach to extend the optimal UFD to a multilayer reservoir to predict the FOI in PI after limited entry fracturing *** recasting tool for this problem to find the optimum solution is Artificial Neural Networks(ANN).The architected ANN model is based on actual historical data of limited entry fracturing treatments.A statistical comparison between the proposed ANN model and classical UFD technique demonstrates that ANN model solution has a more reliable estimation of FOI in PI with the actual historical data.

关键词： Unified fracture design Hydraulic fracturing Limited-entry Fold of increase Artificial neural networks

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Challenge of managing hepatitis B virus and hepatitis C virus infections in resource-limited settings

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World Journal of Hepatology 2022年第7期14卷 1333-1343页

作者： Zeinab Nabil ahmed Said Manal Hamdy el-Sayed Department of Microbiology&Immunology Faculty of Medicine for Girls Al-Azhar UniversityCairoEgypt Department of Pediatrics Faculty of MedicineAin Shams UniversityCairoEgypt

The global burden of hepatitis B virus(HBV)and hepatitis C virus(HCV)infections and coinfection represents a major public health concern,particularly in resource-limited *** of HCV by 2030 has become foreseeable,with effective direct-acting antiviral oral therapies and the availability of affordable generics in low-and-middle-income countries(LMICs).However,access to oral nucleos(t)ide therapy for HBV remains critical and is limited outside the existing global HIV program platforms despite affordable *** of mother-to-child transmission of HBV through scaling up of birth dose implementation in LMICs is essential to achieve the 2030 elimination *** individuals living with HBV and/or HCV in resource-limited settings are unaware of their infection,and with improved access to medications,the most significant barrier remains access to affordable diagnostics and preventive *** coronavirus disease 2019 pandemic interrupted hepatitis elimination programs,albeit offered opportunities for improved diagnostic capacities and raised political awareness of the critical need for strengthening health care services and universal health *** review underpins the HBV and HCV management challenges in resource-limited settings,highlighting the current status and suggested future elimination strategies in some of these *** efforts should continue to improve awareness and political *** resources should be secured to access and implement comprehensive strategies for diagnosis and linkage to care in resource-constrained settings to fulfill the 2030 elimination goal.

关键词： Hepatitis B virus/hepatitis C virus Chronic hepatitis Resource-limited settings HBV and HCV elimination

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