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Optimization of Correspondence Times in Bus Network Zones, Modeling.and Resolution by the Multi-ag.nt Approach

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Journal of the Operations Research Society of China 2020年第3期8卷 415-436页

作者： elbaz Hassane Elhilali Alaoui Ahmed Modeling.and Scientific Computing.Laboratory Faculty of Science and TechnologyFezMorocco Euromed University FezMorocco

Urban transportation,especially bus transportation,is an important sig. of development in every city in the *** averag. waiting.time for passeng.rs at correspondence stations of buses is one of the most important measures of effectiveness of bus *** the best of our knowledg.,the studies in the literature are about maximizing.the number of synchronizations in those correspondence stations whose objective is to minimize the waiting.time in the *** classical definition of synchronization used in the literature related to a time *** this work,we introduce a new definition of synchronization of two buses in network *** this context,we present a mathematical formulation of the synchronization bus timetabling.problem as a multi-objective prog.am,where we use the new meaning.for synchronization of two buses in the network *** the problem is NP-hard,we adapt a multi-ag.nt approach to solve *** experiments show that after adapting.the multi-ag.nt approach using.our proposed definition,we obtain hig.-quality solutions compared to the classical definition.

关键词： Multi-objective problem Bus transportation Network zones Multi-ag.nt approach Synchronization

Method of directly defining.the inverse mapping. applied to prostate cancer immunotherapy --Mathematical model

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International Journal of Biomathematics 2018年第5期11卷 233-254页

作者： Ophir Nave Miriam elbaz Department of Mathematics Jerusalem Colleg. of Technolog. (JCT) Hava'ad Haleumi 21 Jerusalem Israel

In this paper, we apply the method of directly defining.the inverse mapping.introduced by Liao and Zhao [On the method of directly defining.inverse mapping.for nonlinear differential equations, Numer. Alg.rithms 72（4）（2016） 989-1020] to the problem of prostate cancer immunotherapy. We extend this method in two directions： first, we apply the method to a system of nonlinear ordinary differential equation, and second, we propose a new technique for finding.the base functions in the considered alg.rithm.

关键词： Nonlinear system of differential equations prostate cancer numerical simulations cancer immunotherapy asymptotic analysis.

A new systematic firefly alg.rithm for forecasting.the durability of reinforced recycled ag.reg.te concrete

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Frontiers of Structural and Civil Eng.neering 2022年第3期16卷 329-346页

作者： Wafaa Mohamed SHABAN Khalid elbaz Mohamed AMIN Ayat g.mal ASHOUR Department of Civil and Environmental Eng.neering College of EngineeringShantou UniversityShantou 515063China Department of Civil Eng.neering Misr Higher Institute of Engineering and TechnologyMansouraEgypt Department of Civil Eng.neering Higher Future Institute of Engineering and TechnologyMansouraEgypt g.ang.ong.Eng.neering.Center for Structure Safety and Health Monitoring Shantou UniversityShantou 515063China Civil and Architectural Construction Department Faculty of Technology and EducationSuez UniversityIsmailiaEgypt Department of Civil and Environmental Eng.neering Collage of EngineeringUniversity of SharjahSharjah 27272UAE

This study presents a new systematic alg.rithm to optimize the durability of reinforced recycled ag.reg.te *** proposed alg.rithm integ.ates machine learning.with a new version of the firefly alg.rithm called chaotic based firefly alg.rithm(CFA)to evolve a rational and efficient predictive *** CFA optimizer is aug.ented with chaotic maps and Levy flig.t to improve the firefly performance in forecasting.the chloride penetrability of streng.hened recycled ag.reg.te concrete(RAC).A comprehensive and credible database of distinctive chloride mig.ation coefficient results is used to establish the developed alg.rithm.A dataset composite of nine effective parameters,including.concrete components and fundamental characteristics of recycled ag.reg.te(RA),is used as input to predict the mig.ation coefficient of streng.hened RAC as output,k-fold cross validation alg.rithm is utilized to validate the hybrid *** numerical benchmark analyses are applied to prove the superiority and applicability of the CFA alg.rithm in predicting.chloride *** show that the developed CFA approach sig.ificantly outperforms the firefly alg.rithm on almost tested functions and demonstrates powerful *** addition,the proposed strateg. can be an active tool to recog.ize the contradictions in the experimental results and can be especially beneficial for assessing.the chloride resistance of RAC.

关键词： chloride penetrability recycled ag.reg.te concrete machine learning concrete components durability

Proposed Framework for Detection of Breast Tumors

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Computers, Materials & Continua 2023年第2期74卷 2927-2944页

作者： Mostafa elbaz Haitham Elwahsh Ibrahim Mahmoud El-Henawy Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt

Computer vision is one of the sig.ificant trends in computer *** plays as a vital role in many applications,especially in the medical *** detection and seg.entation of different tumors is a big.challeng. in the medical *** proposed framework uses ultrasound imag.s from Kag.le,applying.five diverse models to denoise the imag.s,using.the best possible noise-free imag. as input to the U-Net model for seg.entation of the tumor,and then using.the Convolution Neural Network(CNN)model to classify whether the tumor is benig.,malig.ant,or *** main challeng. faced by the framework in the seg.entation is the speckle ***’s is a multiplicative and neg.tive issue in breast ultrasound imag.ng.because of this noise,the imag. resolution and contrast become reduced,which affects the diag.ostic value of this imag.ng.*** result,speckle noise reduction is very vital for the seg.entation *** framework uses five models such as g.nerative Adversarial Denoising.Network(Dg.N-Net),Denoising.U-Shaped Net(D-U-NET),Batch Renormalization U-Net(Br-UNET),g.nerative Adversarial Network(g.N),and Nonlocal Neutrosophic ofWiener Filtering.NLNWF)for reducing.the speckle noise from the breast ultrasound imag.s then choose the best imag. according.to peak sig.al to noise ratio(PSNR)for each level of *** five used methods have been compared with classical filters such as Bilateral,Frost,Kuan,and Lee and they proved their efficiency according.to PSNR in different levels of *** five diverse models are achieved PSNR results for speckle noise at level(0.1,0.25,0.5,0.75),(33.354,29.415,27.218,24.115),(31.424,28.353,27.246,24.244),(32.243,28.42,27.744,24.893),(31.234,28.212,26.983,23.234)and(33.013,29.491,28.556,25.011)forDg.N,Br-U-NET,D-U-NET,g.Nand NLNWF *** to the value of PSNR and level of speckle noise,the best imag. passed for seg.entation using.U-Net and classification using.NNto detect tumor *** experiments proved

关键词： Breast tumor speckle noise g.N model U-Net model neutrosophic

Desig. of advanced aerog.l structures for oxyg.n reduction reaction electrocatalysis

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SusMat 2023年第1期3卷 44-57页

作者： Leig. Peles-Strahl Yeela Persky Lior elbaz Department of Chemistry Bar-Ilan UniversityRamat-GanIsrael Soreq NRC YavneIsrael

Oxyg.n reduction reaction(ORR)is considered the bottleneck reaction in fuel *** slug.ish kinetics requires the use of scarce and expensive platinum g.oup metal(Pg.)*** efforts have been invested in trying.to find a Pg.-free catalyst to replace Pt for this reaction or reduce its *** interesting.family of materials that has shown g.eat promise in doing.so is aerog.ls,which are based on covalent *** aerog.ls’hig. surface area and porosity enable g.od mass transport and hig. catalyst utilization that is expected to lower Pg. loading. or replacing.them *** review summarizes recent research in this field,introducing.methods of using.aerog.ls as cathodes for ORR,from carbon to metal *** catalytic sites vary from nanoparticles to atomically dispersed metal ions embedded in carbon aerog.ls that form all-in-one platform which can serve as both the support and the catalyst.

关键词： aerog.ls catalyst supports electrocatalysis fuel cells oxyg.n reduction reaction

Recent prog.ess in C-N coupling.for electrochemical CO_(2) reduction with inorg.nic nitrog.nous species in aqueous solution

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Materials Reports(Energ.) 2023年第1期3卷 65-77,I0003页

作者： Shuxia Liu Tanyuan Wang.Lior elbaz Qing.Li State Key Laboratory of Material Processing.and Die&Mould Technolog. School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhanHubei430074China Department of Chemistry and the Institute of Nanotechnolog. and Advanced Materials Bar-Ilan UniversityRamat-Gan5290002Israel

The electrocatalytic CO_(2) reduction in aqueous solution mainly involves bond cleavag. and formation between C,H and O,and it is hig.ly desirable to expand the bond formation reaction of C with other atoms to obtain novel and valuable *** electrochemical synthesis of N-containing.org.nic chemicals in electrocatalytic CO_(2) reduction via introducing.N sources is an effective strateg. to expand the product scope,since chemicals con-taining.C–N bonds(*** and amines)are important reactants/products for medicine,ag.iculture and *** article focuses on the research prog.ess of C–N coupling.from CO_(2) and inorg.nic nitrog.nous species in aqueous ***,the reaction pathways related to the reaction intermediates for urea,formamide,acetamide,methylamine and ethylamine are ***,the electrocatalytic performance of different catalysts for these several N-containing.products are summarized and ***,the challeng.s and op-portunities are analyzed,aiming.to provide g.neral insig.ts into future research directions for electrocatalytic C–N coupling.

关键词： CO_(2) reduction C-N coupling Heterog.neous electrocatalysis Amide Amine

Novel Framework of Seg.entation 3D MRI of Brain Tumors

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Computers, Materials & Continua 2023年第2期74卷 3489-3502页

作者： Ibrahim Mahmoud El-Henawy Mostafa elbaz Zainab H.Ali Noha Sakr Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Embedded Network Sys.and Tec. Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Computers Eng.neering.and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Medical imag. seg.entation is a crucial process for computer-aided diag.osis and *** imag. seg.entation refers to portioning.the imag.s into small,disjointed parts for simplifying.the processes of analysis and *** and speckle noise are different types of noise in mag.etic resonance imag.ng.MRI)that affect the accuracy of the seg.entation process ***,imag. enhancement has a sig.ificant role in MRI *** paper proposes a novel framework that uses 3D MRI imag.s from Kag.le and applies different diverse models to remove Rician and speckle noise using.the best possible noise-free *** proposed techniques consider the values of Peak Sig.al to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for seg.entation of the *** framework has been divided into three stag.s:removing.speckle and Rician noise,the seg.entation stag.,and the feature extraction *** framework presents solutions for each problem at a different stag. of the *** the first stag.,the framework uses Vibrational Mode Decomposition(VMD)along.with Block-matching.and 3D filtering.Bm3D)alg.rithms to remove the ***,the most sig.ificant Rician noise-free imag.s are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising.Network(Di-Conv-AE-Net),andDenoising.g.nerative Adversarial Network(Dg.N-Net)for removing.the speckle *** Bm3D have achieved PSNR values for levels of noise(0,0.25,0.5,0.75)for reducing.the Rician noise by(35.243,32.135,28.214,24.124)and(36.11,31.212,26.215,24.123)*** framework also achieved PSNR values for removing.the speckle noise process for each level as follows:(34.146,30.313,28.125,24.001),(33.112,29.103,27.110,24.194),and(32.113,28.017,26.193,23.121)forDeRNet,Di-Conv-AE-Net,and Dg.N-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a

关键词： MRI Rician noise speckle noise seg.entation deep learning

Prediction of residual tensile streng.h of g.ass fiber reinforced polymer bars in harsh alkaline concrete environment using.fuzzy metaheuristic models

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Journal of Ocean Eng.neering.and Science 2023年第5期8卷 546-558页

作者： Mudassir Iqbal Khalid elbaz Daxu Zhang.Lili Hu Fazal E.Jalal State Key Laboratory of Ocean Eng.neering Shanghai Key Laboratory for Digital Maintenance of Buildings and InfrastructureSchool of Naval ArchitectureOcean&Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Civil Eng.neering University of Engineering and Technology PeshawarPakistan MOE Key Laboratory of Intellig.nt Manufacturing.Technolog. Department of Civil and Environmental EngineeringCollege of EngineeringShantou UniversityShantouGuangdong 515063China Department of Civil Eng.neering Higher Future Institute of Engineering and TechnologyMansouraEgypt

The long.term durability of g.ass fiber reinforced polymer(g.RP)bars in harsh alkaline environments is of g.eat importance in eng.neering.which is reflected by the environmental reduction factor in vari-ous structural *** calculation of this factor requires robust models to predict the residual tensile streng.h of g.RP ***,three robust metaheuristic alg.rithms,namely particle swarm optimiza-tion(PSO),g.netic alg.rithm(g.),and support vector machine(SVM),were deployed in this study for achieving.the best hyperparameters in the adaptive neuro-fuzzy inference system(ANFIS)in order to obtain more accurate prediction *** optimized models were developed to predict the tensile streng.h retention(TSR)of deg.aded g.RP rebars in typical alkaline environments(e.g.,seawater sea sand concrete(SWSSC)environment in this study).The study also proposed more reliable model to predict the TSR of g.RP bars exposed to alkaline environmental conditions under accelerating.laboratory ag.ng.A to-tal number of 715 experimental laboratory samples were collected in a form of extensive database to be trained.K-fold cross-validation was used to assess the reliability of the developed models by dividing.the dataset into five equal *** order to analyze the efficiency of the metaheuristic alg.rithms,multiple statistical tests were *** was concluded that the ANFIS-SVM-based model is robust and accu-rate in predicting.the TSR of conditioned g.RP *** the meantime,the ANFIS-PSO model also yielded reasonable results concerning.the prediction of the tensile streng.h of g.RP bars in alkaline concrete *** sensitivity analysis revealed g.RP bar size,volume fraction of fibers,and pH of solution were the most influential parameters of TSR.

关键词： g.rp Seawater sea sand concrete Durability Metaheuristic Anfis-pso,anfis-g. ANFIS-SVM

Wave-Particle Duality in Einstein-de Brog.ie Prog.ams

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Journal of Modern Physics 2014年第18期5卷 2192-2199页

作者： Claude elbaz Academie Europeenne Interdisciplinaire de Science (A.E.I.S.) Paris France

The standard model of particle physics forms a consistent system for universe description. After following.quantum mechanics, it derives particles from relativistic quantum fields. Since it does not include g.avitation, it describes only one aspect of the universe. In extension of g.neral relativity, Einstein had proposed a symmetrical and complementary approach of physics. In his prog.am, he privileg.d a relativist field based on representations for physical phenomena, before a precise mathematical description. It allows completing.and unifying.the universe description, like both eyes for relief vision, and both ears for stereophonic audition. We propose to show it with many simple examples.

关键词： Standard Model Quantum Theory Special Relativity de Brog.ie Relation Planck-Einstein Relation g.avitation Planck Parameters