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Improved Harmony Search with Optimal Deep Learning Enabled Classification Model

Computers, Materials & Continua 2022年第10期73卷 1783-1797页

作者： mahmoud Ragab Adel A.Bahaddad Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre for Artificial Intelligence in Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

Due to drastic increase in the generation of data,it is tedious to examine and derive high level knowledge from the *** rising trends of high dimension data gathering and problem representation necessitates feature selection process in several machine learning *** feature selection procedure establishes a generally encountered issue of global combinatorial *** FS process can lessen the number of features by the removal of unwanted and repetitive *** this aspect,this article introduces an improved harmony search based global optimization for feature selection with optimal deep learning(IHSFS-ODL)enabled classification *** proposed IHSFS-ODL technique intends to reduce the curse of dimensionality and enhance classification *** addition,the IHSFSODL technique derives an IHSFS technique by the use of local search method with traditional harmony search algorithm(HSA)for global ***,ODL based classifier including quantum behaved particle swarm optimization(QPSO)with gated recurrent unit(GRU)is applied for data classification *** utilization of HSA for the choice of features and QPSO algorithm for hyper parameter tuning processes helps to accomplish maximum classification *** order to demonstrate the enhanced outcomes of the IHSFS-ODL technique,a series of simulations were carried out and the results reported the betterment over its recent state of art approaches.

关键词： Data classification feature selection global optimization deep learning metaheuristics

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ON SINGULAR EQUATIONS INVOLVING FRACTIONAL LAPLACIAN

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Acta Mathematica Scientia 2020年第5期40卷 1289-1315页

作者： Ahmed YOUSSFI Ghoulam OULD MOHAMED mahmoud National School of Applied Sciences Sidi Mohamed Ben Abdellah University-Fez Laboratory of Mathematical Analysis and Applications My Abdellah Avenue Road ImouzerP.O.Box 72 Fes-Principale30000FezMorocco National School of Applied Sciences Sidi Mohamed Ben Abdellah University-Fez My Abdellah Avenue Road ImouzerP.0.Box 72 Fes-Principale30000FezMorocco

We study the existence and the regularity of solutions for a class of nonlocal equations involving the fractional Laplacian operator with singular nonlinearity and Radon measure data.

关键词： fractional Laplacian singular elliptic equations measure data

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Prediction of boundary shear stress distribution in straight open channels using velocity distribution

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Water Science and Engineering 2021年第2期14卷 159-166页

作者： Behzad Malvandi mahmoud F.Maghrebi Department of Civil Engineering Ferdowsi University of MashhadMashhad 91775-1111Iran

Conventional methods for measuring local shear stress on the wetted perimeter of open channels are related to the measurement of the very low velocity close to the *** near-zero velocity values with high fluctuations has always been a difficult task for fluid flow near solid *** solve the observation problems,a new model was developed to estimate the distribution of boundary shear stress from the velocity distribution in open channels with different cross-sectional *** estimate the shear stress at a point on the wetted perimeter by the model,the velocity must be measured at a point with a known normal distance to the *** experimental work of some other researchers on channels with various cross-sectional shapes,including rectangular,trapezoidal,partially full circular,and compound shapes,was used to evaluate the performance of the proposed *** exponent coefficients for the model were found using the multivariate Newton method with the minimum of the mean absolute percentage error(MAPE)between the model and experimental data as the objective ***,the calculated shear stress distributions along the wetted perimeter were compared with the experimental *** most important advantage of the proposed model is its inherent *** mean MAPE value for the seven selected cross-sections was 6.9%.The best results were found in the cross-sections with less discontinuity of the wetted perimeter,including the compound,trapezoidal,and partially full circular *** contrast,for the rectangular cross-section with an angle between the bed and walls of 90°,MAPE increased due to the large discontinuities.

关键词： Open channel Boundary shear stress Viscous shear stress Velocity distribution Velocity gradient

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Unraveling a Driven Damped Harmonic Oscillator through Entangled State Representation

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Chinese Physics Letters 2013年第11期30卷 22-24页

作者： Seyed mahmoud Ashrafi Mohammad Reza Bazrafkan Department of Physics Faculty of ScienceI.K.I.UniversityQazvinIran

Employing the thermo-entangled state representation,the common eigenstates of relative position and the total momentum of a two-mode system,we solve the master equation of a damped harmonic oscillator driven by a time... 详细信息

关键词： field momentum harmonic

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Using Semantic Web Technologies to Improve the Extract Transform Load Model

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Computers, Materials & Continua 2021年第8期68卷 2711-2726页

作者： Amena mahmoud mahmoud Y.Shams O.M.Elzeki Nancy Awadallah Awad Department of Computer Science Kafrelshiekh UniversityKafrelshiekhEgypt Department of Machine Learning Kafrelsheikh UniversityKafrelshiekhEgypt Department of Computer Science Mansoura UniversityMansouraEgypt Department of Computer and Information Systems Sadat Academy for Management SciencesCairoEgypt

Semantic Web(SW)provides new opportunities for the study and application of big data,massive ranges of data sets in varied formats from multiple *** studies focus on potential SW technologies for resolving big data problems,such as structurally and semantically heterogeneous data that result from the variety of data formats(structured,semi-structured,numeric,unstructured text data,email,video,audio,stock ticker).SW offers information semantically both for people and machines to retain the vast volume of data and provide a meaningful output of unstructured *** the current research,we implement a new semantic Extract Transform Load(ETL)model that uses SW technologies for aggregating,integrating,and representing data as linked ***,geospatial data resources are aggregated from the internet,and then a semantic ETL model is used to store the aggregated data in a semantic model after converting it to Resource Description Framework(RDF)format for successful integration and *** principal contribution of this research is the synthesis,aggregation,and semantic representation of geospatial data to solve problems.A case study of city data is used to illustrate the semantic ETL model’s *** results show that the proposed model solves the structural and semantic heterogeneity problems in diverse data sources for successful data aggregation,integration,and representation.

关键词： Semantic web big data ETL model linked data geospatial data

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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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Simply synthesized TiO_2 nanorods as an effective scattering layer for quantum dot sensitized solar cells

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Chinese Physics B 2014年第4期23卷 531-538页

作者： mahmoud Samadpour Azam Iraji zad Mehdi Molaei Department of Physics Faculty of Science K. N. Toosi University of Technology Institute for Nanoscience and Nanotechnology Sharif University of Technology Department of Physics Sharif University of Technology Department of Physics Faculty of ScienceVali-e-Asr University

TiO2 nanorod layers are synthesized by simple chemical oxidation of Ti substrates. Diffuse reflectance spectroscopy measurements show effective light scattering properties originating from nanorods with length scales on the order of one micron. The films are sensitized with CdSe quantum dots （QDs） by successive ionic layer adsorption and reaction （SILAR） and integrated as a photoanode in quantum dot sensitized solar cells （QDSCs）. Incorporating nanorods in photoanode structures provided 4- to 8-fold enhancement in light scattering, which leads to a high power conversion efficiency, 3.03% （Voc = 497 mV, Jsc = 11.32 mA/cm2, FF = 0.54）, in optimized structures. High efficiency can he obtained just by tuning the photoanode structure without further treatments, which will make this system a promising nanostructure for efficient quantum dot sensitized solar cells.

关键词： solar cell nanorod quantum dot scattering

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Colorectal cancers and chlorinated water

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World Journal of Gastrointestinal Oncology 2016年第4期8卷 402-409页

作者： Ahmed mahmoud El-Tawil Department of Surgery University Hospital Birmingham

Published reports have revealed increased risk of colorectal cancers in people exposed to chlorinated drinking water or chemical derivatives of chlorination. Oestrogen plays a dual positive functions for diminishing the possibilities of such risk by reducing the entrance, and increasing the excretion, of these chemicals. In addition, there are supplementary measures that could be employed in order to reduce this risk further, such as boiling the drinking water, revising the standard concentrations of calcium, magnesium and iron in the public drinking water and prescribing oestrogen in susceptible individuals. Hypo-methylation of genomic DNA could be used as a biological marker for screening for the potential development of colorectal cancers.

关键词： Chlorinated drinking water Oestrogen Sex hormones Gender Colorectal cancers Trihalomethanes Carcinogenesis DNA hypo-methylation

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Numerical simulation of two-phase flow in fractured porous media using streamline simulation and IMPES methods and comparing results with a commercial software

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Journal of Central South University 2016年第10期23卷 2630-2637页

作者： mahmoud Ahmadpour Majid Siavashi Mohammad Hossein Doranehgard Applied Multi-Phase Fluid Dynamics Lab. School of Mechanical Engineering Iran University of Science and Technology

Streamline simulation is developed to simulate waterflooding in fractured reservoirs. Conventional reservoir simulation methods for fluid flow simulation in large and complex reservoirs are very costly and time consuming. In streamline method, transport equations are solved on one-dimensional streamlines to reduce the computation time with less memory for simulation. First, pressure equation is solved on an Eulerian grid and streamlines are traced. Defining the "time of flight", saturation equations are mapped and solved on streamlines. Finally, the results are mapped back on Eulerian grid and the process is repeated until the simulation end time. The waterflooding process is considered in a fractured reservoir using the dual porosity model. Afterwards, a computational code is developed to solve the same problem by the IMPES method and the results of streamline simulation are compared to those of the IMPES and a commercial software. Finally, the accuracy and efficiency of streamline simulator for simulation of two-phase flow in fractured reservoirs has been proved.

关键词： two-phase flow porous media fractured reservoirs streamline simulation dual porosity implicit pressure-explicit saturation

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Blockchain with Explainable Artificial Intelligence Driven Intrusion Detection for Clustered IoT Driven Ubiquitous Computing System

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Computer Systems Science & Engineering 2023年第9期46卷 2917-2932页

作者： Reda Salama mahmoud Ragab Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt

In the Internet of Things(IoT)based system,the multi-level client’s requirements can be fulfilled by incorporating communication technologies with distributed homogeneous networks called ubiquitous computing systems(UCS).The UCS necessitates heterogeneity,management level,and data transmission for distributed ***,security remains a major issue in the IoT-driven ***,energy-limited IoT devices need an effective clustering strategy for optimal energy *** recent developments of explainable artificial intelligence(XAI)concepts can be employed to effectively design intrusion detection systems(IDS)for accomplishing security in *** this view,this study designs a novel Blockchain with Explainable Artificial Intelligence Driven Intrusion Detection for IoT Driven Ubiquitous Computing System(BXAI-IDCUCS)*** major intention of the BXAI-IDCUCS model is to accomplish energy efficacy and security in the IoT *** BXAI-IDCUCS model initially clusters the IoT nodes using an energy-aware duck swarm optimization(EADSO)algorithm to accomplish ***,deep neural network(DNN)is employed for detecting and classifying intrusions in the IoT ***,blockchain technology is exploited for secure inter-cluster data transmission *** ensure the productive performance of the BXAI-IDCUCS model,a comprehensive experimentation study is applied,and the outcomes are assessed under different *** comparison study emphasized the superiority of the BXAI-IDCUCS model over the current state-of-the-art approaches with a packet delivery ratio of 99.29%,a packet loss rate of 0.71%,a throughput of 92.95 Mbps,energy consumption of 0.0891 mJ,a lifetime of 3529 rounds,and accuracy of 99.38%.

关键词： Blockchain internet of things ubiquitous computing explainable artificial intelligence clustering deep learning

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