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A Triple-Channel Encrypted Hybrid Fusion Technique to Improve Security of Medical Images

Computers, Materials & Continua 2021年第7期68卷 431-446页

作者： Ahmed S.Salama Mohamed amr Mokhtar Mazhar B.Tayel Esraa eldesouky Ahmed ali Future University in Egypt CairoEgypt Cairo Higher Institute for Engineering Computer Science and ManagementCairoEgypt Department of electrical Engineering Faculty of EngineeringAlexandria UniversityAlexandria21544Egypt Department of Computer Science Faculty of Computers and InformaticsSuez Canal UniversityIsmailia CityEgypt Higher Future Institute for Specialized Technological Studies CairoEgypt Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

Assuring medical images protection and robustness is a compulsory necessity *** this paper,a novel technique is proposed that fuses the wavelet-induced multi-resolution decomposition of the Discrete Wavelet Transform(DWT)with the energy compaction of the Discrete Wavelet Transform(DCT).The multi-level Encryption-based Hybrid Fusion Technique(EbhFT)aims to achieve great advances in terms of imperceptibility and security of medical images.A DWT disintegrated sub-band of a cover image is reformed simultaneously using the DCT ***,a 64-bit hex key is employed to encrypt the host image as well as participate in the second key creation process to encode the ***,a PN-sequence key is formed along with a supplementary key in the third layer of the ***,the watermarked image is generated by enclosing both keys into DWT and DCT *** fusions ability of the proposed EbHFT technique makes the best use of the distinct privileges of using both DWT and DCT *** order to validate the proposed technique,a standard dataset of medical images is *** results show higher performance of the visual quality(i.e.,57.65)for the watermarked forms of all types of medical *** addition,EbHFT robustness outperforms an existing scheme tested for the same dataset in terms of Normalized Correlation(NC).Finally,extra protection for digital images from against illegal replicating and unapproved tampering using the proposed technique.

关键词： Medical image processing digital image watermarking discrete wavelet transforms discrete cosine transform encryption image fusion hybrid fusion technique

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Mathematical Morphology View of Topological Rough Sets and Its Applications

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Computers, Materials & Continua 2023年第3期74卷 6893-6908页

作者： Ibrahim Noaman Abd el Fattah el Atik Tamer Medhat Manal E.ali Department of Mathematics Faculty of Science and Arts in Al-MandaqAl-Baha UniversityKingdom of Saudi Arabia Department of Mathematics Faculty of ScienceTanta UniversityTantaEgypt Department of electrical Engineering Faculty of EngineeringKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Physics and Engineering Mathematics Faculty of EngineeringKafrelsheikh UniversityKafrelsheikh33516Egypt

This article focuses on the relationship between mathematical morphology operations and rough sets,mainly based on the context of image retrieval and the basic image correspondence *** morphological procedures and set approximations in rough set theory have some clear *** initiatives have been made to connect rough sets with mathematical *** significant publications have been written in this *** attempt to show a direct connection between mathematical morphology and rough sets through relations,a pair of dual operations,and neighborhood *** sets are used to suggest a strategy to approximatemathematicalmorphology within the general paradigm of soft computing.A single framework is defined using a different technique that incorporates the key ideas of both rough sets and mathematical *** paper examines rough set theory from the viewpoint of mathematical morphology to derive rough forms of themorphological structures of dilation,erosion,opening,and *** newly defined structures are applied to develop algorithm for the differential analysis of chest X-ray images from a COVID-19 patient with acute pneumonia and a health *** algorithm and rough morphological operations show promise for the delineation of lung occlusion in COVID-19 patients from chest *** foundations of mathematical morphology are covered in this *** that,rough set theory ideas are taken into account,and their connections are ***,a suggested image retrieval application of the concepts from these two fields is provided.

关键词： Mathematical morphology rough set theory topological spaces COVID-19

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Zinc carnosine-based modified bismuth quadruple therapy vs standard triple therapy for Helicobacter pylori eradication: A randomized controlled study

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World Journal of Clinical Cases 2022年第1期10卷 227-235页

作者： Nour Ibrahim Hassan el Said ali Choukair Faculty of Medical Sciences Lebanese UniversityBeirut 0000Lebanon Department of Biological and Chemical Sciences School of Arts and SciencesLebanese International UniversityBeirut 0000Lebanon Department of Gastroenterology Clemenceau Medical CenterDubai 00000United Arab Emirates

BACKGROUND Helicobacter pylori(***)infection is a worldwide problem with increasing burden on the health sector due to its increasing rate of *** conventional triple therapy(TT)is becoming obsolete with a high failure rate of eradication,necessitating the need for better alternatives or *** To investigate *** eradication rate of TT vs modified bismuth quadruple *** Ninety-two patients with dyspepsia symptoms and positive ^(13)C-urea breath test were randomly assigned to two *** first group(control group)was treated for 14 d using standard TT protocol:Esomeprazole(40 mg twice daily),amoxicillin(1 g twice daily)and clarithromycin(500 mg twice daily).On the other hand,the second group was prescribed a 10-d course of modified bismuth quadruple therapy fortified with zinc carnosine:TT in addition to bismuth subcitrate(240 mg twice daily)and zinc carnosine(75 mg twice daily).A repeated 13C-urea breath test was done 4 wk after the completion of the eradication *** Among the 92 subjects,67.4%were males and 32.6%were *** were no differences in demographic characteristics(age,body mass index,smoking history,previous antibiotics use and ethnicity)between the modified bismuth quadruple therapy group and TT *** eradication rate was higher[93.5%(43/46)]in the modified bismuth quadruple therapy group compared to 69.6%(32/46)in the standard TT group(P=0.003).Of the tested predictor variables,only nationality,smoking and therapy type were statistically *** dizziness,which was recorded in modified bismuth quadruple therapy group,there were no significant differences in side effects between the two *** Ten days of modified bismuth quadruple therapy fortified with zinc carnosine is superior to 14 d of conventional TT in eradicating *** infection,with no additional significant adverse events.

关键词： Helicobacter pylori Polaprezinc Bismuth Peptic ulcer Gastritis Drug Resistance Microbial

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Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods

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Computers, Materials & Continua 2022年第2期70卷 3473-3489页

作者： Mohamed ali Mohamed Ibrahim Mahmoud el-Henawy Ahmad Salah Faculty of Computers and Informatics Zagazig UniversityZagazigEgypt

Price prediction of goods is a vital point of research due to how common e-commerce platforms *** are several efforts conducted to forecast the price of items using classicmachine learning algorithms and *** models can predict prices of various financial instruments,e.g.,gold,oil,cryptocurrencies,stocks,and second-hand *** these efforts,the literature has no model for predicting the prices of seasonal goods(e.g.,Christmas gifts).In this context,we framed the task of seasonal goods price prediction as a regression ***,we utilized a real online trailer dataset of Christmas gifts and then we proposed several machine learningbased models and one statistical-based model to predict the prices of these seasonal ***,we utilized a real-life dataset of Christmas gifts for the prediction ***,we proposed support vector regressor(SVR),linear regression,random forest,and ridgemodels as machine learningmodels for price ***,we proposed an autoregressive-integrated-movingaverage(ARIMA)model for the same purpose as a statistical-based ***,we evaluated the performance of the proposed models;the comparison shows that the best performing model was the random forest model,followed by the ARIMA model.

关键词： ARIMA machine learning price prediction random forest ridge support vector regressor

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Nonclassical Symmetries for Nonlinear Partial Differential Equations via Compatibility

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Communications in Theoretical Physics 2011年第10期56卷 611-616页

作者： Mostafa F.el-Sabbagh Ahmad T.ali Mathematics Department Faculty of ScienceMinia UniversityMiniaEgypt King Abdul Aziz University Faculty of ScienceDepartment of MathematicsP.O.Box 80203Jeddah21589Saudi Arabia

The determining equations for the nonclassical symmetry reductions of nonlinear partial differential equations with arbitrary order can be obtained by requiring the compatibility between the original equations and the invariant surface conditions. The （2＋1）-dimensional shallow water wave equation, Boussinesq equation, and the dispersive wave equations in shallow water serve as examples i11ustrating how compatibility leads quickly and easily to the determining equations for their nonclassical symmetries.

关键词： nonclassical symmetriesm compatibility (2+ 1)-dimensional shallow water wave Boussinesq equa-tions and the dispersive wave equations in shallow water

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Modern improvement techniques of direct torque control for induction motor drives - a review

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Protection and Control of Modern Power Systems 2019年第1期4卷 138-149页

作者： Najib el Ouanjli Aziz Derouich Abdelaziz el Ghzizal Saad Motahhir ali Chebabhi Youness el Mourabit Mohammed Taoussi Laboratory of Production Engineering Energy and Sustainable DevelopmentHigher School of TechnologySidi Mohamed Ben Abdellah UniversityFezMorocco Faculty of Sciences and Technology University of Bordj Bou ArreridjBordj Bou ArreridjAlgeria Laboratory of Systems Integration and Advanced Technologies Faculty of Sciences Dhar El MahrazSidi Mohamed Ben Abdellah UniversityFezMorocco

Conventional direct torque control (DTC) is one of the excellent control strategies available to control the torque of the induction machine (IM). However, the low switching frequency of the DTC causes high ripples in the flux and torque that leads to an acoustic noise which degrades the control performances, especially at low speeds. Many direct torque control techniques were appeared to remedy these problems by focusing specifically on the torque and flux. In this paper, a state of the art review of various modern techniques for improving the performance of DTC control is presented. The objective is to make a critical analysis of these methods in terms of ripples reduction, tracking speed, switching loss, algorithm complexity and parameter sensitivity. Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for academic and industrial researchers.

关键词： Induction machine Direct torque Control(DTC) Fuzzy logic(FL) Neural network(NN) Sliding mode(SG) Genetic algorithm(GA)

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A Hybrid Classification and Identification of Pneumonia Using African Buffalo Optimization and CNN from Chest X-Ray Images

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2497-2517页

作者： Nasser Alalwan Ahmed I.Taloba amr Abozeid Ahmed Ibrahim Alzahrani ali H.Al-Bayatti Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Information System Department Faculty of Computers and InformationAssiut UniversityAssiutEgypt Mathematics Department Faculty of ScienceAl-Azhar UniversityCairoEgypt Cyber Technology Institute(CTI) De Montfort UniversityLeicesterUK

An illness known as pneumonia causes inflammation in the *** there is so much information available fromvarious X-ray images,diagnosing pneumonia has typically proven *** improve image quality and speed up the diagnosis of pneumonia,numerous approaches have been *** date,several methods have been employed to identify *** Convolutional Neural Network(CNN)has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and ***,these methods are complex,inefficient,and imprecise to analyze a big number of *** this paper,a new hybrid method for the automatic classification and identification of Pneumonia from chest X-ray images is *** proposed method(ABOCNN)utilized theAfrican BuffaloOptimization(ABO)algorithmto enhanceCNNperformance and *** Weinmed filter is employed for pre-processing to eliminate unwanted noises from chest X-ray images,followed by feature extraction using the Grey Level Co-Occurrence Matrix(GLCM)*** features are then selected from the dataset using the ABO algorithm,and ultimately,high-performance deep learning using the CNN approach is introduced for the classification and identification of *** results on various datasets showed that,when contrasted to other approaches,the ABO-CNN outperforms them all for the classification *** proposed method exhibits superior values like 96.95%,88%,86%,and 86%for accuracy,precision,recall,and F1-score,respectively.

关键词： African buffalo optimization convolutional neural network pneumonia X-ray

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Metaheuristic Optimization for Mobile Robot Navigation Based on Path Planning

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Computers, Materials & Continua 2022年第11期73卷 2241-2255页

作者： el-Sayed M.el-kenawy Zeeshan Shafi Khan Abdelhameed Ibrahim Bandar Abdullah Aloyaydi Hesham Arafat ali ali E.Takieldeen Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Science Department College of Engineering and Computer ScienceMustaqbal UniversityBuraidahSaudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Mechanical Engineering Qassim UniversityBuraidah51452Saudi Arabia

Recently,the path planning problem may be considered one of the most interesting researched topics in autonomous *** is why finding a safe path in a cluttered environment for a mobile robot is a significant requisite.A promising route planning for mobile robots on one side saves time and,on the other side,reduces the wear and tear on the robot,saving the capital *** route planning methods for the mobile robot have been developed and *** to our best knowledge,no method offers an optimum solution among the existing *** Swarm Optimization(PSO),a numerical optimization method based on the mobility of virtual particles in a multidimensional space,is considered one of the best algorithms for route planning under constantly changing environmental *** the researchers,reactive methods are increasingly common and extensively used for the training of neural networks in order to have efficient route planning for mobile *** paper proposes a PSO Weighted Grey Wolf Optimization(PSOWGWO)*** is a hybrid algorithm based on enhanced Grey Wolf Optimization(GWO)with *** order to measure the statistical efficiency of the proposed algorithm,Wilcoxon rank-sum and ANOVA statistical tests are *** experimental results demonstrate a 25%to 45%enhancement in terms of Area Under Curve(AUC).Moreover,superior performance in terms of data size,path planning time,and accuracy is demonstrated over other state-of-the-art techniques.

关键词： Mobile robot swarm optimization robot route planning neural networks

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Estimation of the evaporative losses from Lake Nasser, Egypt using optical satellite imagery

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International Journal of Digital Earth 2012年第2期5卷 133-146页

作者： Islam H.Abou el-Magd elham M.ali National Authority for Remote Sensing and Space Sciences CairoEgypt Department of Environmental Sciences Suez Canal UniversitySuez BranchEgypt

Water shortage in the arid region is an existing and future severe problem that threatens this part of the *** has a limited budget of 55 BM3 per year from the river Nile basin that has always been stored in the Lake Nasser reservoir,southern *** has been estimated that the water losses from the lake ranges from 10 to 20 BM3 a year*** paper discusses the possibility of estimating the surface evaporation from Lake Nasser using optical remotely sensed *** surface energy balance algorithm for land(SEBAL)algorithm was used to estimate the monthly evaporation rate using National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer(NOAA-AVHRR)satellite images based on the energy balance *** main variable within these components is the surface temperature,which was calculated by a calibrated split window equation from the remotely sensed ***-four satellite images during the year 2008 were used to estimate the maximum and minimum evaporative losses from the lake at 16.3 and 12.5 BM3 year1,*** compared with the Penman-Monteith mathematical formula,a high correlation was obtained with r2*** study demonstrated that remotely sensed data can provide a robust estimate of evaporative losses from Lake Nasser that can aid decision makers in better management and Digital Earth studies.

关键词： Lake Nasser remote sensing Digital Earth evaporation energy balance surface temperature

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Advance Artificial Intelligence Technique for Designing Double T-Shaped Monopole Antenna

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Computers, Materials & Continua 2021年第12期69卷 2983-2995页

作者： el-Sayed M.el-kenawy Hattan F.Abutarboush ali Wagdy Mohamed Abdelhameed Ibrahim Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt electrical Engineering Department College of EngineeringTaibah UniversityMedina 42353Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza 12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGizaEgypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

Machine learning(ML)has taken the world by a tornado with its prevalent applications in automating ordinary tasks and using turbulent insights throughout scientific research and design *** is a massive area within artificial intelligence(AI)that focuses on obtaining valuable information out of data,explaining why ML has often been related to stats and data *** advanced meta-heuristic optimization algorithm is proposed in this work for the optimization problem of antenna architecture *** algorithm is designed,depending on the hybrid between the Sine Cosine Algorithm(SCA)and the Grey Wolf Optimizer(GWO),to train neural networkbased Multilayer Perceptron(MLP).The proposed optimization algorithm is a practical,versatile,and trustworthy platform to recognize the design parameters in an optimal way for an endorsement double T-shaped monopole *** proposed algorithm likewise shows a comparative and statistical analysis by different curves in addition to the ANOVA and *** offers the superiority and validation stability evaluation of the predicted results to verify the procedures’accuracy.

关键词： Antenna optimization machine learning artificial intelligence multilayer perceptron sine cosine algorithm grey wolf optimizer

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