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Variant Wasserstein Generative Adversarial Network Applied on Low Dose CT Image Denoising

Computers, Materials & Continua 2023年第5期75卷 4535-4552页

作者： Anoud A.Mahmoud Hanaa A.sayed Sara S.mohamed Department of Mathematics and Computer Science Faculty of ScienceNew Valley UniversityNew Valley72511Egypt Department of Computer Science College of Computer Science and Engineering Taibah UniversityMedina42221KSA Department of Mathematics Faculty of ScienceAssiut UniversityAssiut71516Egypt

Computed Tomography(CT)images have been extensively employed in disease diagnosis and treatment,causing a huge concern over the dose of radiation to which patients are *** the radiation dose to get a better image may lead to the development of genetic disorders and cancer in the patients;on the other hand,decreasing it by using a Low-Dose CT(LDCT)image may cause more noise and increased artifacts,which can compromise the ***,image reconstruction from LDCT image data is necessary to improve radiologists’judgment and *** study proposed three novel models for denoising LDCT images based on Wasserstein Generative Adversarial Network(WGAN).They were incorporated with different loss functions,including Visual Geometry Group(VGG),Structural Similarity Loss(SSIM),and Structurally Sensitive Loss(SSL),to reduce noise and preserve important information on LDCT images and investigate the effect of different types of loss ***,experiments have been conducted on the Graphical Processing Unit(GPU)and Central Processing Unit(CPU)to compare the performance of the proposed *** results demonstrated that images from the proposed WGAN-SSIM,WGAN-VGG-SSIM,and WGAN-VGG-SSL were denoised better than those from state-of-the-art models(WGAN,WGAN-VGG,and SMGAN)and converged to a stable equilibrium compared with WGAN and *** proposed models are effective in reducing noise,suppressing artifacts,and maintaining informative structure and texture details,especially WGAN-VGG-SSL which achieved a high peak-signalto-noise ratio(PNSR)on both GPU(26.1336)and CPU(25.8270).The average accuracy of WGAN-VGG-SSL outperformed that of the state-ofthe-art methods by 1 *** prove that theWGAN-VGG-SSL is more stable than the other models on both GPU and CPU.

关键词： Machine learning deep learning image denoising low dose CT loss function

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A secure image steganography algorithm based on least significant bit and integer wavelet transform

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Journal of Systems Engineering and Electronics 2018年第3期29卷 639-649页

作者： ELSHAZLY Emad ABDELWAHAB Safey ABOUZAID Refaat ZAHRAN Osama ELARABY sayed ELKORDY mohamed Engineering Department Nuclear Research CenterAtomic Energy AuthorityCairo 11787Egypt Electronics and Electrical Communications Engineering Department Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt

The rapid development of data communication in modern era demands secure exchange of information. Steganography is an established method for hiding secret data from an unauthorized access into a cover object in such a way that it is invisible to human eyes. The cover object can be image, text, audio,or video. This paper proposes a secure steganography algorithm that hides a bitstream of the secret text into the least significant bits（LSBs） of the approximation coefficients of the integer wavelet transform（IWT） of grayscale images as well as each component of color images to form stego-images. The embedding and extracting phases of the proposed steganography algorithms are performed using the MATLAB software. Invisibility, payload capacity, and security in terms of peak signal to noise ratio（PSNR） and robustness are the key challenges to steganography. The statistical distortion between the cover images and the stego-images is measured by using the mean square error（MSE） and the PSNR, while the degree of closeness between them is evaluated using the normalized cross correlation（NCC）. The experimental results show that, the proposed algorithms can hide the secret text with a large payload capacity with a high level of security and a higher invisibility. Furthermore, the proposed technique is computationally efficient and better results for both PSNR and NCC are achieved compared with the previous algorithms.

关键词： image steganography image processing integer wavelet transform

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Linearly and Quadratically Separable Classifiers Using Adaptive Approach

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Journal of Computer Science & Technology 2011年第5期26卷 908-918页

作者： mohamed Abdel-Kawy mohamed ali Soliman Rasha M.Abo-Bakr Department of Computer and Systems Engineering Faculty of EngineeringZagazig UniversityZagazigEgypt Departement of Mathematics Faculty of ScienceZagazig UniversityZagazigEgypt

This paper presents a fast adaptive iterative algorithm to solve linearly separable classification problems in R *** each iteration,a subset of the sampling data （n-points,where n is the number of features） is adaptively chosen and a hyperplane is constructed such that it separates the chosen n-points at a margin and best classifies the remaining *** classification problem is formulated and the details of the algorithm are ***,the algorithm is extended to solving quadratically separable classification *** basic idea is based on mapping the physical space to another larger one where the problem becomes linearly *** illustrations show that few iteration steps are sufficient for convergence when classes are linearly *** nonlinearly separable data,given a specified maximum number of iteration steps,the algorithm returns the best hyperplane that minimizes the number of misclassified points occurring through these *** with other machine learning algorithms on practical and benchmark datasets are also presented,showing the performance of the proposed algorithm.

关键词： linear classification quadratic classification iterative approach adaptive technique

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Quantifying relationships between rooting traits and water uptake under drought in Mediterranean barley and durum wheat

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Journal of Integrative Plant Biology 2014年第5期56卷 455-469页

作者： Pedro Carvalho sayed Azam-ali M.John Foulkes Division of Plant and Crop Sciences University of Nottingham Sutton Bonington Campus The University of Nottingham Malaysia Campus Jalan Broga Semenyih Selangor Darul

In Mediterranean regions drought is the major factor limiting spring barley and durum wheat grain yields. This study aimed to compare spring barley and durum wheat root and shoot responses to drought and quantify relationships between root traits and water uptake under terminal *** spring barley（Hordeum vulgare L. cv. Rum） and two durum wheat Mediterranean cultivars（Triticum turgidum L. var durum cvs Hourani and Karim） were examined in soil‐column experiments under well watered and drought conditions. Root system architecture traits, water uptake, and plant growth were measured. Barley aerial biomass and grain yields were higher than for durum wheat cultivars in well watered conditions. Drought decreased grain yield more for barley（47%） than durum wheat（30%, Hourani）. Root‐to‐shoot dry matter ratio increased for durum wheat under drought but not for barley, and root weight increased for wheat in response todrought but decreased for barley. The critical root length density（RLD） and root volume density（RVD） for 90% available water capture for wheat were similar to（cv. Hourani） or lower than（cv. Karim） for barley depending on wheat cultivar. For both species, RVD accounted for a slightly higher proportion of phenotypic variation in water uptake under drought than RLD.

关键词： Barley Mediterranean root architecture root length density root traits root volume density water wheat

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Dipper Throated Algorithm for Feature Selection and Classification in Electrocardiogram

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Computer Systems Science & Engineering 2023年第5期45卷 1469-1482页

作者： Doaa Sami Khafaga Amel ali Alhussan Abdelaziz A.Abdelhamid Abdelhameed Ibrahim mohamed Saber El-sayed M.El-kenawy Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Electronics and Communications Engineering Department Faculty of EngineeringDelta University for Science and TechnologyMansouraEgypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Arrhythmia has been classified using a variety of *** of the dynamic nature of electrocardiogram(ECG)data,traditional handcrafted approaches are difficult to execute,making the machine learning(ML)solutions more *** with cardiac arrhythmias can benefit from competent monitoring to save their *** arrhythmia classification and prediction have greatly improved in recent *** are a category of conditions in which the heart's electrical activity is abnormally rapid or *** year,it is one of the main reasons of mortality for both men and women,*** the classification of arrhythmias,this work proposes a novel technique based on optimized feature selection and optimized K-nearest neighbors(KNN)*** proposed method makes advantage of the UCI repository,which has a 279-attribute high-dimensional cardiac arrhythmia *** proposed approach is based on dividing cardiac arrhythmia patients into 16 groups based on the electrocardiography dataset’s *** purpose is to design an efficient intelligent system employing the dipper throated optimization method to categorize cardiac arrhythmia *** method of comprehensive arrhythmia classification outperforms earlier methods presented in the *** achieved classification accuracy using the proposed approach is 99.8%.

关键词： Feature selection electrocardiogram metaheuristics dipper throated algorithm

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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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Dengue virus infections and anti-dengue virus activities of Andrographis paniculata

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Asian Pacific Journal of Tropical Medicine 2020年第2期13卷 49-55页

作者： mohamed ali-Seyed Kavitha Vijayaraghavan Department of Clinical Biochemistry Faculty of MedicineUniversity of TabukTabukSaudi ArabiaTabuk 71491Saudi Arabia Department of Chemical Engineering Agni College of TechnologyChennaiTamil NaduIndia

Dengue is a debilitating disease that poses a perpetual threat to human health and increases the global economic burden every *** advances in medical sciences,dengue virus(DENV)infects approximately 200 million people every *** date,no effective antiviral is valiable to treat DENV in individuals despite great efforts in accomplishing these *** approaches have been used in the search for dengue antiviral like screening of combinatorial compounds against DENV enzymes and structurebased computational *** recent years,investigators have turned their focus into medicinal plants,trying to identify compounds that can be used as dengue *** represents a great reservoir of potential substances that can be explored with the aim of discovering new drugs that can be either used directly as pharmaceuticals or can provide drug leads,which can be scrutinized further for the development of new anti-dengue natural *** previous investigations have dealt with numerous plant extracts or bioactive principles for their antiviral property as they normally considered being safer when compared to synthetic *** paniculata belongs to family Acanthaceae and is generally known as‘king of bitters’.Diverse bioactive compounds from this plant such as diterpenes,flavonoids,xanthones,noriridoides and other miscellaneous compounds have exhibited their potential as therapeutics for various chronic as well as infectious *** review is based on literature review on scientific journals,books and electronic sources,which highlights the pathogenesis of DENV and describe an assortment of bioactive principles that have been possessing antiviral potential,which include dengue and discuss the therapeutic efficacy and mechanism of action of Andrographis ***,a detailed and more comprehensive clinical trial on mammalian tissues and organs is needed in future studies.

关键词： Andrographis paniculata Dengue Phytochemicals Natural products Andrographolide

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Grey Wolf-Based Method for an Implicit Authentication of Smartphone Users

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Computers, Materials & Continua 2023年第5期75卷 3729-3741页

作者： Abdulwahab ali Almazroi mohamed Meselhy Eltoukhy University of Jeddah College of Computing and Information Technology at KhulaisDepartment of Information TechnologyJeddahSaudi Arabia

Smartphones have now become an integral part of our everyday *** authentication on smartphones is often accomplished by mechanisms(like face unlock,pattern,or pin password)that authenticate the user’s *** technologies are simple,inexpensive,and fast for repeated ***,these technologies are still subject to assaults like smudge assaults and shoulder ***’touch behavior while using their cell phones might be used to authenticate them,which would solve the *** performance of the authentication process may be influenced by the attributes chosen(from these behaviors).The purpose of this study is to present an effective authentication technique that implicitly offers a better authentication method for smartphone usage while avoiding the cost of a particular device and considering the constrained capabilities of *** began by concentrating on feature selection methods utilizing the grey wolf optimization *** random forest classifier is used to evaluate these *** testing findings demonstrated that the grey wolf-based methodology works as a better optimum feature selection for building an implicit authentication mechanism for the smartphone environment when using a public *** achieved a 97.89%accuracy rate while utilizing just 16 of the 53 characteristics like utilizing minimum mobile resources mainly;processing power of the device and memory to validate ***,the findings revealed that our approach has a lower equal error rate(EER)of 0.5104,a false acceptance rate(FAR)of 1.00,and a false rejection rate(FRR)of 0.0209 compared to the methods discussed in the *** promising results will be used to create a mobile application that enables implicit validation of authorized users yet avoids current identification concerns and requires fewer mobile resources.

关键词： Smartphone authentication implicit authentication grey wolf random forest feature selection

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Community Knowledge and Attitude about Burns First Aid (BFA) in Jazan, Saudi Arabia

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Journal of Biosciences and Medicines 2024年第4期12卷 135-148页

作者： Md. Mazharul Hoque mohamed E. Moukhyer Nizar A. Khamjan Bahja Al Siddig Elsie Maguen Shane Alam Abdulrahman Ibrahim ali Hakami Siraj Yahya Mohammed Mobarki Bandar Hassan Sulaiman Ghazwani Ayman Abdulrhman Alhathiq Lamyaa El Hassan Aziza Mukhayer Emergency Medical Services Department Faculty of Applied Medical Sciences Jazan University Jazan Saudi Arabia Public Health Programmes School of Medicine University of Limerick Limerick Ireland School of Medicine Ahfad University for Women Omdurman Sudan Department of Medical Laboratory Technology Faculty of Applied Medical Sciences Jazan University Jazan Saudi Arabia Department of Basic Medical Sciences Faculty of Medicine Jazan University Jazan Saudi Arabia Department of Health Promotion University of Maastricht Maastricht Netherland

Introduction and Significance: Burn injury (BI) is a considerable health issue which is responsible for around 300,000 deaths and affecting about 11 million people every year worldwide. In Saudi Arabia, the prevalence of BIs array from 112 to 518 per 100,000 per year. The appropriate awareness of performing first aid could facilitate to improve the outcomes of burns. Purpose and Objectives: To appraise the community that acknowledges burns, first aid, and associated factors among the community population in Jazan City, Saudi Arabia. The paper aims to identify limitations to encourage additional research and persuade legislators to develop improved burn-injury care recommendations and training programs. Materials and Methods: An observational-based sample survey was conducted among the people who live in Jazan City aging 13 years or more, during April 5 to May 5, 2023. Data collection was done by a validated online self-administrated questionnaire sent randomly to community members in different parts of Jazan City via social media platforms. Collected data were coded and cleaned by an excel program, and finally exported on SPSS 26.0 software. The variables were analyzed using descriptive statistics like frequencies and percentages. Also, the Chi-square test was used to investigate the relation between different variables, with a significance value of P Results: This study included 243 participants (about 62%) among them were mostly male participants (151) having a university degree. The majority of participants 75% did not take any form of BFA training in the past. This study shows that 69.9% of the participants have inadequate awareness, despite 72% having a constructive attitude towards burn first aid. Previous burn-related first aid training was significantly associated with participants’ knowledge of BFA at a p-value less than 0.05. Conclusion: This study indicates a high frequency of Jazan population having inadequate knowledge of burn first aid despite the high

关键词： Burn Injury (BI) Burns First Aid Knowledge First Aid Training Jazan City

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Dual Branches of MHD Three-Dimensional Rotating Flow of Hybrid Nanofluid on Nonlinear Shrinking Sheet

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Computers, Materials & Continua 2021年第1期66卷 127-139页

作者： Liaquat ali Lund Zurni Omar Ilyas Khan El-sayed MSherif School of Quantitative Sciences Universiti Utara MalaysiaSintokKedah06010Malaysia KCAET Khairpur Mir’s Sindh Agriculture UniversityTandojamSindh70060Pakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh CityVietnam Center of Excellence for Research in Engineering Materials King Saud UniversityAl-Riyadh11421Saudi Arabia Electrochemistry and Corrosion Laboratory Department of Physical ChemistryNational Research CentreDokkiCairo12622Egypt

In this study,magnetohydrodynamic(MHD)three-dimensional(3D)flow of alumina(Al2O3)and copper(Cu)nanoparticles of an electrically conducting incompressible fluid in a rotating frame has been *** shrinking surface generates the flow that also has been *** single-phase(i.e.,Tiwari and Das)model is implemented for the hybrid nanofluid transport *** for alumina and copper nanomaterials in the water base fluid are *** layer approximations are used to reduce governing partial differential(PDEs)system into the system of the ordinary differential equations(ODEs).The three-stage Lobatto IIIa method in bvp4c solver is applied for solutions of the governing *** results have been shown to examine how velocity and temperature fields are influenced by various applied *** has been found that there are two branches for certain values of the suction/injection parameter b:The rise in copper volumetric concentration improved the velocity of hybrid nanofluid in the upper *** heat transfer rate improved for the case of hybrid nanofluid as compared to the viscous fluid and simple nanofluid.

关键词： Nonlinear surface viscous dissipation MHD Hybrid nanofluid two branches

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