检索结果-南通市图书馆

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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 sign of development in every city in the *** average waiting time for passengers at correspondence stations of buses is one of the most important measures of effectiveness of bus *** the best of our knowledge,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 program,where we use the new meaning for synchronization of two buses in the network *** the problem is NP-hard,we adapt a multi-agent approach to solve *** experiments show that after adapting the multi-agent approach using our proposed definition,we obtain high-quality solutions compared to the classical definition.

关键词： Multi-objective problem Bus transportation Network zones Multi-agent approach Synchronization

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

作者： Ophir Nave Miriam elbaz Department of Mathematics Jerusalem College of Technology (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. Algorithms 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 algorithm.

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

A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Structural and Civil Engineering 2022年第3期16卷 329-346页

作者： Wafaa Mohamed SHABAN Khalid elbaz Mohamed AMIN Ayat gamal ASHOUR Department of Civil and Environmental Engineering College of EngineeringShantou UniversityShantou 515063China Department of Civil Engineering Misr Higher Institute of Engineering and TechnologyMansouraEgypt Department of Civil Engineering Higher Future Institute of Engineering and TechnologyMansouraEgypt Guangdong Engineering 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 Engineering Collage of EngineeringUniversity of SharjahSharjah 27272UAE

This study presents a new systematic algorithm to optimize the durability of reinforced recycled aggregate *** proposed algorithm integrates machine learning with a new version of the firefly algorithm called chaotic based firefly algorithm(CFA)to evolve a rational and efficient predictive *** CFA optimizer is augmented with chaotic maps and Levy flight to improve the firefly performance in forecasting the chloride penetrability of strengthened recycled aggregate concrete(RAC).A comprehensive and credible database of distinctive chloride migration coefficient results is used to establish the developed algorithm.A dataset composite of nine effective parameters,including concrete components and fundamental characteristics of recycled aggregate(RA),is used as input to predict the migration coefficient of strengthened RAC as output,k-fold cross validation algorithm is utilized to validate the hybrid *** numerical benchmark analyses are applied to prove the superiority and applicability of the CFA algorithm in predicting chloride *** show that the developed CFA approach significantly outperforms the firefly algorithm on almost tested functions and demonstrates powerful *** addition,the proposed strategy can be an active tool to recognize the contradictions in the experimental results and can be especially beneficial for assessing the chloride resistance of RAC.

关键词： chloride penetrability recycled aggregate concrete machine learning concrete components durability

Proposed Framework for Detection of Breast Tumors

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

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 significant trends in computer *** plays as a vital role in many applications,especially in the medical *** detection and segmentation of different tumors is a big challenge in the medical *** proposed framework uses ultrasound images from Kaggle,applying five diverse models to denoise the images,using the best possible noise-free image as input to the U-Net model for segmentation of the tumor,and then using the Convolution Neural Network(CNN)model to classify whether the tumor is benign,malignant,or *** main challenge faced by the framework in the segmentation is the speckle ***’s is a multiplicative and negative issue in breast ultrasound imaging,because of this noise,the image resolution and contrast become reduced,which affects the diagnostic value of this imaging *** result,speckle noise reduction is very vital for the segmentation *** framework uses five models such as Generative Adversarial Denoising Network(DGAN-Net),Denoising U-Shaped Net(D-U-NET),Batch Renormalization U-Net(Br-UNET),Generative Adversarial Network(GAN),and Nonlocal Neutrosophic ofWiener Filtering(NLNWF)for reducing the speckle noise from the breast ultrasound images then choose the best image according to peak signal 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)forDGAN,Br-U-NET,D-U-NET,GANand NLNWF *** to the value of PSNR and level of speckle noise,the best image passed for segmentation using U-Net and classification usingCNNto detect tumor *** experiments proved

关键词： Breast tumor speckle noise GAN model U-Net model neutrosophic

Design of advanced aerogel structures for oxygen reduction reaction electrocatalysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

SusMat 2023年第1期3卷 44-57页

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

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

关键词： aerogels catalyst supports electrocatalysis fuel cells oxygen reduction reaction

Recent progress in C-N coupling for electrochemical CO_(2) reduction with inorganic nitrogenous species in aqueous solution

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Materials Reports(Energy) 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 Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhanHubei430074China Department of Chemistry and the Institute of Nanotechnology and Advanced Materials Bar-Ilan UniversityRamat-Gan5290002Israel

The electrocatalytic CO_(2) reduction in aqueous solution mainly involves bond cleavage and formation between C,H and O,and it is highly desirable to expand the bond formation reaction of C with other atoms to obtain novel and valuable *** electrochemical synthesis of N-containing organic chemicals in electrocatalytic CO_(2) reduction via introducing N sources is an effective strategy to expand the product scope,since chemicals con-taining C–N bonds(*** and amines)are important reactants/products for medicine,agriculture and *** article focuses on the research progress of C–N coupling from CO_(2) and inorganic nitrogenous 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 challenges and op-portunities are analyzed,aiming to provide general insights into future research directions for electrocatalytic C–N coupling.

关键词： CO_(2) reduction C-N coupling Heterogeneous electrocatalysis Amide Amine

Novel Framework of Segmentation 3D MRI of Brain Tumors

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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 Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and speckle noise are different types of noise in magnetic resonance imaging(MRI)that affect the accuracy of the segmentation process ***,image enhancement has a significant role in MRI *** paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free *** proposed techniques consider the values of Peak Signal to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for segmentation of the *** framework has been divided into three stages:removing speckle and Rician noise,the segmentation stage,and the feature extraction *** framework presents solutions for each problem at a different stage of the *** the first stage,the framework uses Vibrational Mode Decomposition(VMD)along with Block-matching and 3D filtering(Bm3D)algorithms to remove the ***,the most significant Rician noise-free images are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising Network(Di-Conv-AE-Net),andDenoising Generative Adversarial Network(DGAN-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 DGAN-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a

关键词： MRI Rician noise speckle noise segmentation deep learning

Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Ocean Engineering 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 Engineering Shanghai Key Laboratory for Digital Maintenance of Buildings and InfrastructureSchool of Naval ArchitectureOcean&Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Civil Engineering University of Engineering and Technology PeshawarPakistan MOE Key Laboratory of Intelligent Manufacturing Technology Department of Civil and Environmental EngineeringCollege of EngineeringShantou UniversityShantouGuangdong 515063China Department of Civil Engineering Higher Future Institute of Engineering and TechnologyMansouraEgypt

The long-term durability of glass fiber reinforced polymer(GFRP)bars in harsh alkaline environments is of great importance in engineering,which is reflected by the environmental reduction factor in vari-ous structural *** calculation of this factor requires robust models to predict the residual tensile strength of GFRP ***,three robust metaheuristic algorithms,namely particle swarm optimiza-tion(PSO),genetic algorithm(GA),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 strength retention(TSR)of degraded GFRP 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 GFRP bars exposed to alkaline environmental conditions under accelerating laboratory aging.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 algorithms,multiple statistical tests were *** was concluded that the ANFIS-SVM-based model is robust and accu-rate in predicting the TSR of conditioned GFRP *** the meantime,the ANFIS-PSO model also yielded reasonable results concerning the prediction of the tensile strength of GFRP bars in alkaline concrete *** sensitivity analysis revealed GFRP bar size,volume fraction of fibers,and pH of solution were the most influential parameters of TSR.

关键词： Gfrp Seawater sea sand concrete Durability Metaheuristic Anfis-pso,anfis-ga ANFIS-SVM

Wave-Particle Duality in Einstein-de Broglie Programs

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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 gravitation, it describes only one aspect of the universe. In extension of general relativity, Einstein had proposed a symmetrical and complementary approach of physics. In his program, he privileged 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 Broglie Relation Planck-Einstein Relation Gravitation Planck Parameters