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Weight Prediction Using the Hybrid Stacked-LSTM Food Selection Model

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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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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Improved Prediction of Metamaterial Antenna Bandwidth Using Adaptive Optimization of LSTM

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Computers, Materials & Continua 2022年第10期73卷 865-881页

作者： Doaa Sami Khafaga Amel Ali Alhussan el-Sayed M.el-kenawy Abdelhameed Ibrahim Said H.Abd elkhalik Shady y.el-Mashad Abdelaziz A.Abdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia 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 Systems Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

The design of an antenna requires a careful selection of its parameters to retain the desired ***,this task is time-consuming when the traditional approaches are employed,which represents a significant *** the other hand,machine learning presents an effective solution to this challenge through a set of regression models that can robustly assist antenna designers to find out the best set of design parameters to achieve the intended *** this paper,we propose a novel approach for accurately predicting the bandwidth of metamaterial *** proposed approach is based on employing the recently emerged guided whale optimization algorithm using adaptive particle swarm optimization to optimize the parameters of the long-short-term memory(LSTM)deep *** optimized network is used to retrieve the metamaterial bandwidth given a set of *** addition,the superiority of the proposed approach is examined in terms of a comparison with the traditional multilayer perceptron(ML),Knearest neighbors(K-NN),and the basic LSTM in terms of several evaluation criteria such as root mean square error(RMSE),mean absolute error(MAE),and mean bias error(MBE).Experimental results show that the proposed approach could achieve RMSE of(0.003018),MAE of(0.001871),and MBE of(0.000205).These values are better than those of the other competing models.

关键词： Metamaterial antenna long short term memory(LSTM) guided whale optimization algorithm(Guided WOA) adaptive dynamic particle swarm algorithm(AD-PSO)

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Entropy per Rapidity in Pb-Pb Central Collisions using Thermal and Artificial Neural Network(ANN)Models at LHC Energies

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Chinese Physics C 2022年第7期46卷 27-40页

作者： D.M.Habashy Mahmoud y.el-Bakry Werner Scheinast Mahmoud Hanafy Ain Shams University Faculty of Education Physics Department11771RoxyCairoEgypt Joint Institute for Nuclear Research-Veksler and Baldin Laboratory of High Energy Physics Moscow Region141980 DubnaRussia Physics Department Faculty of ScienceBenha University13518BenhaEgypt

The entropy per rapidity dS/dy produced in central Pb-Pb ultra-relativistic nuclear collisions at LHC energies is calculated using experimentally identified particle spectra and source radii estimated from Hanbury Brown-Twiss (HBT) correlations for particles π, k, p, Λ, Ω, and ∑ and π, k, p, Λ, and K^(0)_(s) at √s =2.76 and 5.02 TeV, respectively. An artificial neural network (ANN) simulation model is used to estimate the entropy per rapidity dS/dy at the considered energies. The simulation results are compared with equivalent experimental data, and a good agreement is achieved. A mathematical equation describing the experimental data is obtained. Extrapolation of the transverse momentum spectra at pT =0 is required to calculate dS/dy;thus, we use two different fitting functions, the Tsallis distribution and hadron resonance gas (HRG) model. The success of the ANN model in describing the experimental measurements leads to the prediction of several spectra values for the mentioned particles, which may lead to further predictions in the absence of experiments.

关键词： HRG Tsallis ANN RPropp

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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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A Proposed Biometric Authentication Model to Improve Cloud Systems Security

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Computer Systems Science & Engineering 2022年第11期43卷 573-589页

作者： Hosam el-el-Sofany King Khalid University AbhaKingdom of Saudi Arabia Cairo Higher Institute for Engineering Computer Science and ManagementCairoEgypt

Most user authentication mechanisms of cloud systems depend on the credentials approach in which a user submits his/her identity through a username and ***,this approach has many security problems because personal data can be stolen or recognized by *** paper aims to present a cloud-based biometric authentication model(CBioAM)for improving and securing cloud *** research study presents the verification and identification processes of the proposed cloud-based biometric authentication system(CBioAS),where the biometric samples of users are saved in database servers and the authentication process is implemented without loss of the users’*** paper presents the performance evaluation of the proposed model in terms of three main characteristics including accuracy,sensitivity,and *** research study introduces a novel algorithm called“Bio_Authen_as_a_Service”for implementing and evaluating the proposed *** proposed system performs the biometric authentication process securely and preserves the privacy of user *** experimental result was highly promising for securing cloud services using the proposed *** experiments showed encouraging results with a performance average of 93.94%,an accuracy average of 96.15%,a sensitivity average of 87.69%,and a specificity average of 97.99%.

关键词： Cloud computing cloud security biometrics technologies biometric authentication

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Origin and geochemical characteristics of beryllium mineralization in the Zabara-Wadi el Gemal region,South Eastern Desert,Egypt

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Acta Geochimica 2024年第6期43卷 1105-1122页

作者： Gehad M.Saleh Farrage M.Khaleal Mohammed Z.el-Bialy Mohamed S.Kamar Mokhles K.Azer Mohamed M.Omar Mohamed N.el Dawy Ahmed Abdelaal el Saeed R.Lasheen Nuclear Materials Authority El-MaadiP.O.Box 530CairoEgypt 2 Geology DepartmentFaculty of SciencePort Said UniversityPort Said 42522Egypt 3 Geological Sciences DepartmentNational Research CentreCairoEgypt 4 Environmental Sciences DepartmentFaculty of SciencePort Said UniversityPort Said 42522Egypt 5 Geology DepartmentFaculty of ScienceAl-Azhar UniversityP.O.Box 11884CairoEgypt

Beryl is the commercial source of beryllium and several varieties of it are valued as a *** contribute to understanding the mechanism of beryl formation,we carried out detailed geological,petrographical,and geochemical investigations on beryl mineralization occurrences in the Zabara-Wadi el Gemal(Z-WG)*** region is an NW-SE trending tract that includes six berylhosting *** green gem variety of beryl(emerald)is restricted to phlogopite schist,pegmatite,and quartz *** hexagonal emerald crystals are well-developed in phlogopite schist and *** gem variety emerald examined is sodic and *** contains high concentrations of chromophore transition elements ordering Cr(up to 1511 ppm)>V(up to 242 ppm)>Sc(up to 245 ppm),giving rise to its vivid green color,refl ecting mafic-ultramafic source *** the investigated emeralds,the Sikait area contains the highest BeO(av.10.76wt.%)*** compositional variability of emeralds is most likely attributed to the contribution from the host *** is revealed by the examined emerald mineralization,for instance;the Abu Rusheid area(one of the best areas exposing rare metal-bearing granitoids)possesses the highest average of trace and REEs *** contrast,Um Kabu emerald has the highest contents of Co(av.20 ppm),Ni(av.299 ppm),MgO(av.8.2wt.%),Fe_(2)O_(3)(av.3.12wt.%),and CaO(avg.3.4wt.%)relative to other areas,which may be linked to contribution of ultramafic rocks exposed *** proposed mechanism we suggest for emerald genesis is metasomatic interaction between felsic intrusions,that are enriched with K,Na,Be,Li,and B,with mafic-ultramafic rocks that are enriched in Cr,V,Mg,Fe,and *** interaction is marked by the formation of phlogopite schist,the growth of emerald crystals,and desilicated pegmatite.

关键词： Beryl chemistry Emerald genesis Phlogopite schist Pegmatite Eastern Desert

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Vibration and stability of an aircraft tail under simultaneous primary-combined and internal resonance

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Theoretical & Applied Mechanics Letters 2011年第4期1卷 68-73页

作者： y.S.Hamed W.A.A.el-Ganaini Department of Engineering Mathematics Faculty of Electronic EngineeringMenouf 32952Egypt Department of Mathematics and Statistics Faculty of ScienceTaif UniversityTaifEl-HaweiahP.O.Box 88821974Kingdom of Saudi Arabia(KSA)

This paper adds a negative velocity feedback to the dynamical system of twin-tail aircraft to suppress the *** system is represented by two coupled second-order nonlinear differential equations having both quadratic and cubic *** system describes the vibration of an aircraft tail subjected to both multi-harmonic and multi-tuned *** method of multiple time scale perturbation is adopted to solve the nonlinear differential equations and obtain approximate solutions up to the third order *** stability of the proposed analytic solution near the simultaneous primary,combined and internal resonance is studied and its conditions are *** effect of different parameters on the steady state response of the vibrating system is studied and discussed by using frequency response *** different resonance cases are investigated numerically.

关键词： aircraft tail stability response active vibration control

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Correction:A Lightweight Approach for Skin Lesion Detection through Optimal Features Fusion

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Computers, Materials & Continua 2025年第1期82卷 1459-1459页

作者： Khadija Manzoor Fiaz Majeed Ansar Siddique Talha Meraj Hafiz Tayyab Rauf Mohammed A.el-Meligy Mohamed Sharaf Abd elatty E.Abd elgawad Department of Information Technology University of GujratGujrat50700Pakistan Department of Software Engineering University of GujratGujrat50700Pakistan Department of Computer Science COMSATS University Islamabad-Wah CampusWah Cantt47040Pakistan Independent Researcher BradfordBD80HSUK Advanced Manufacturing Institute King Saud UniversityRiyadh11421Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

In the article“A Lightweight Approach for Skin Lesion Detection through Optimal Features Fusion”by Khadija Manzoor,Fiaz Majeed,Ansar Siddique,Talha Meraj,Hafiz Tayyab Rauf,Mohammed ***-Meligy,Mohamed Sharaf,Abd elatty *** elgawad Computers,Materials&Continua,2022,Vol.70,No.1,pp.1617–***:10.32604/cmc.2022.018621,URL:https://***/cmc/v70n1/44361,there was an error regarding the affiliation for the author Hafiz Tayyab *** of“Centre for Smart Systems,AI and Cybersecurity,Staffordshire University,Stoke-on-Trent,UK”,the affiliation should be“Independent Researcher,Bradford,BD80HS,UK”.

关键词： Fusion Skin Feature

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