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Development of a Smart Technique for mobile Web Services Discovery

Computers, materials & Continua 2021年第11期69卷 1483-1501页

作者： mohamed Eb-Saad Yunyoung Nam hazem m.el-bakry Samir Abdelrazek Department of Information Systems Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea

Web service(WS)presents a good solution to the interoperability of different types of systems that aims to reduce the overhead of high processing in a resource-limited *** the increasing demand for mobile WS(mWS),the WS discovery process has become a significant challenging point in the WS lifecycle that aims to identify the relevant mWSs that best match the service *** discovery process is a resource-consuming task that cannot be performed efficiently in a mobile computing environment due to the limitations of mobile ***,a cloud computing can provide rich computing resources for mobile environments given its unlimited and easily scalable *** paper proposes a semantic WS discovery and invocation framework in mobile environments based on cloud and a relationship-aware matchmaking *** discovery algorithm enriches mWS and user requests semantically with the functional and non-functional properties of Ontology Web Language for Services,such as Quality of Web Service,device context,and user *** WS repository is filtered based on logical reasoning and a parameter-based matching algorithm to minimize the matching space and improve runtime *** cosine similarity between the user request and services repository is then assessed to generate the most relevant *** relationships among concepts in the ontology are considered to improve the recall and precision *** the WS discovery process,users can invoke and test these services in a mobile environment through a dynamic user *** interface of the invocation process is changed according to the WS description *** application prototype is also developed to evaluate the framework based on a Cordova cross-mobile development framework.

关键词： Cloud web service web service discovery semantic matching mobile web service discovery

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Residual Attention Deep SVDD for COVID-19 Diagnosis Using CT Scans

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Computers, materials & Continua 2023年第2期74卷 3333-3350页

作者： Akram Ali Alhadad Omar Tarawneh Reham R.mostafa hazem m.el-bakry Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Computer Science Department Ibb UniversityIbbYemen SE Department Faculty of Computer Sciences and InformaticsAmman Arab UniversityAmman11953Jordan

COVID-19 is the common name of the disease caused by the novel coronavirus(2019-nCoV)that appeared in Wuhan,China in *** the infected people is the most important factor in the fight against the *** gold-standard test to diagnose COVID-19 is polymerase chain reaction(PCR),but it takes 5–6 h and,in the early stages of infection,may produce false-negative *** Computed Tomography(CT)images to diagnose patients infected with COVID-19 has become an urgent *** this study,we propose a residual attention deep support vector data description SVDD(RADSVDD)approach to diagnose *** is a novel approach combining residual attention with deep support vector data description(DSVDD)to classify the CT *** the best of our knowledge,we are the first to combine residual attention with DSVDD in general,and specifically in the diagnosis of *** attention with DSVDD naively may cause model *** in the proposed RADSVDD guides the network during training and enables quick learning,residual connectivity prevents vanishing *** approach consists of three models,each model is devoted to recognizing one certain disease and classifying other diseases as *** models learn in an end-to-end *** proposed approach attained high performance in classifying CT images into intact,COVID-19,and non-COVID-19 *** evaluate the proposed approach,we created a dataset from published datasets and had it assessed by an experienced *** proposed approach achieved high performance,with the normal model attained sensitivity(0.96–0.98),specificity(0.97–0.99),F1-score(0.97–0.98),and area under the receiver operator curve(AUC)0.99;the COVID-19 model attained sensitivity(0.97–0.98),specificity(0.97–0.99),F1-score(0.97–0.99),and AUC 0.99;and the non-COVID pneumoniamodel attained sensitivity(0.97–1),specificity(0.98–0.99),F1-score(0.97–0.99),and AUC 0.99.

关键词： Deep learning deep SVDD residual attention anomaly detection COVID-19 Coronavirus

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Incremental Learning Framework for mining Big Data Stream

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Computers, materials & Continua 2022年第5期71卷 2901-2921页

作者： Alaa Eisa Nora E.L-Rashidy mohammad Dahman Alshehri hazem m.el-bakry Samir Abdelrazek Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt machine Learning and Information Retrieval Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

At this current time,data stream classification plays a key role in big data analytics due to its enormous *** of the existing classification methods used ensemble learning,which is trustworthy but these methods are not effective to face the issues of learning from imbalanced big data,it also supposes that all data are *** weakness of current methods is that it takes a long evaluation time when the target data stream contains a high number of *** main objective of this research is to develop a new method for incremental learning based on the proposed ant lion fuzzy-generative adversarial network *** proposed model is implemented in spark *** each data stream,the class output is computed at slave nodes by training a generative adversarial network with the back propagation error based on fuzzy bound *** method overcomes the limitations of existing methods as it can classify data streams that are slightly or completely unlabeled data and providing high scalability and *** results show that the proposed model outperforms stateof-the-art performance in terms of accuracy(0.861)precision(0.9328)and minimal mSE(0.0416).

关键词： Ant lion optimization(ALO) big data stream generative adversarial network(GAN) incremental learning renyi entropy

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Semantic Pneumonia Segmentation and Classification for Covid-19 Using Deep Learning Network

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Computers, materials & Continua 2022年第10期73卷 1141-1158页

作者： m.m.Lotfy hazem m.el-bakry m.m.elgayar Shaker el-Sappagh G.Abdallah m.I A.A.Soliman Kyung Sup Kwak Department of mathematics Faculty of ScienceArish UniversityArish45511Egypt Department of Information Systems Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Department of Information Technology Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Centro Singular de Investigación en Tecnoloxías Intelixentes(CiTIUS) Universidade de Santiago de CompostelaSantiago de Compostela15705Spain Information Systems Department Faculty of Computers and Artificial IntelligenceBenha UniversityBenha13512Egypt Department of Information and Communication Engineering Inha UniversityIncheon22212Korea

Early detection of the Covid-19 disease is essential due to its higher rate of infection affecting tens of millions of people,and its high number of deaths also by 7%.For that purpose,a proposed model of several stages was *** first stage is optimizing the images using dynamic adaptive histogram equalization,performing a semantic segmentation using DeepLabv3Plus,then augmenting the data by flipping it horizontally,rotating it,then flipping it *** second stage builds a custom convolutional neural network model using several pre-trained ***,the model compares the pre-trained data to the new output,while repeatedly trimming the best-performing models to reduce complexity and improve memory *** experiments were done using different techniques and ***,the proposed model achieved an average accuracy of 99.6%and an area under the curve of 0.996 in the Covid-19 *** paper will discuss how to train a customized intelligent convolutional neural network using various parameters on a set of chest X-rays with an accuracy of 99.6%.

关键词： SARS-COV2 COVID-19 pneumonia deep learning network semantic segmentation smart classification

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Eco-toxicity and health risk assessment of polycyclic aromatic hydrocarbons in surface sediments of Burullus Lake in Egypt

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China Geology 2024年第3期7卷 460-468页

作者： Hanan E Osman mohamed H E el-morsy hazem T Abd el-Hamid Department of Biology Faculty of Applied ScienceUmm Al-Qura UniversityMecca 24382Saudi Arabia Deanship of Scientific Research Umm Al-Qura UniversityMakkah 24372Saudi Arabia National Institute of Oceanography and Fisheries(NIOF) Cairo 11865Egypt Botany and microbiology Department Faculty of ScienceAl-Azhar UniversityCairo 11651Egypt

Polycyclic aromatic hydrocarbons(PAHs)are ubiquitous environmental contaminants of growing concern due to their potential ecological and human health *** study presents a comprehensive assessment of PAHs contamination in the surface sediments of Burullus Lake,a vital and second largest delta lake in *** aim was to evaluate the eco-toxicity and potential health risks associated with the presence of these *** seven sediment samples were collected from various drains in the southern part of Burullus *** extraction method was employed to extract PAHs(16PAHs)from the sediment ***,target compounds were located using *** results showed that samples contained PAHs levels ranging from 0.038×10^(-6)to 0.459×10^(-6),which is considered heavily polluted by the European standard for PAHs ***,there was no apparent source of PAHs in the elKhashah drain or the Brinbal Canal,as HPLC found none of the *** most prevalent compound in sediment samples along the study area was *** diagnostic indices in the present study indicated that the hydrocarbons in the region originated from pyrolytic and man-made sources along the drains of Burullus *** principal component analysis(PCA)and diagnostic ratios revealed that coal combustion and pyrolytic sources were responsible for the PAHs contamination in the surface *** non-carcinogenic risk(HI),which is the product of the HQs for the adult and child populations,respectively,was *** values under 1,therefore,demonstrated that they had no carcinogenic effects on human *** and mEQs in the sediments of Burullus Lake do not have a cancer-causing impact on *** the safety of nearby wildlife,aquatic life,and people,all activities that raise petroleum hydrocarbon levels in Burullus Lake must be adequately regulated and *** to the ecological risk assessment,there is little chance that PAHs will be found

关键词： Polycyclic aromatic hydrocarbons Diagnostic indices Toxicity Delta lake sediment Burullus Lake Human health risk Aquatic ecosystem HPLC Coal combustion

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A Practical Study of Intelligent Image-Based mobile Robot for Tracking Colored Objects

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Computers, materials & Continua 2024年第8期80卷 2181-2197页

作者： mofadal Alymani mohamed Esmail Karar hazem Ibrahim Shehata College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia Faculty of electronic Engineering Menoufia UniversityMenouf32952Egypt Faculty of Engineering Zagazig UniversityZagazig44519Egypt

Object tracking is one of the major tasks for mobile robots in many real-world ***,artificial intelligence and automatic control techniques play an important role in enhancing the performance of mobile robot *** contrast to previous simulation studies,this paper presents a new intelligent mobile robot for accomplishing multi-tasks by tracking red-green-blue(RGB)colored objects in a real experimental ***,a practical smart controller is developed based on adaptive fuzzy logic and custom proportional-integral-derivative(PID)schemes to achieve accurate tracking results,considering robot command delay and tolerance *** design of developed controllers implies some motion rules to mimic the knowledge of experienced *** scenarios of three colored object combinations have been successfully tested and evaluated by using the developed controlled image-based robot *** PID control failed to handle some tracking scenarios in this *** proposed adaptive fuzzy PID control achieved the best accurate results with the minimum average final error of 13.8 cm to reach the colored targets,while our designed custom PID control is efficient in saving both average time and traveling distance of 6.6 s and 14.3 cm,*** promising results demonstrate the feasibility of applying our developed image-based robotic system in a colored object-tracking environment to reduce human workloads.

关键词： mobile robot autonomous systems fuzzy logic control real-time image processing

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Exome sequencing identifies a likely causative variant in 53%of families with ciliopathy-related features on renal ultrasound after excluding NPHP1 deletions

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Genes & Diseases 2024年第5期11卷 40-43页

作者： Konstantin Deutsch Verena Klambt Thomas m.Kitzler Tilman Jobst-Schwan Ronen Schneider Florian Buerger Steve Seltzsam Sherif el Desoky Jam.ela A.Kari Farkhanda Hafeez maria Szczepanska Loai A.Eid hazem S.Awad muna Al-Saffar Neveen A.Soliman Velibor Tasic Camille Nicolas-Frank Kirollos Yousef Luca m.Schierbaum Sophia Schneider Abdul Halawi Izzeldin elmubarak Katharina Lemberg Shirlee Shril Shrikant m.mane Nancy Rodig Friedhelm Hildebrandt Division of Nephrology Department of PediatricsBoston Children’s HospitalHarvard Medical SchoolBostonMA 02215USA Department of Pediatric Gastroenterology Nephrology and Metabolic DiseasesCharite Universitatsmedizin BerlinBerlin 13353Germany Berlin Institute of Health at Charitee Universitatsmedizin Berlin BIH Biomedical Innovation AcademyBIH Charite Clinician Scientist ProgramBerlin 10178Germany Department of Nephrology and Hypertension FriedrichAlexander-Universitat Erlangen-NurnbergErlangen 91054Germany Department of Pediatrics Faculty of Medicine King Abdulaziz UniversityPediatric Nephrology Center of ExcellenceKing Abdulaziz University HospitalJeddah 21589Saudi Arabia Department of Pediatric Nephrology The Children’s Hospital and Institute of Child HealthLahore 54000Pakistan Department of Pediatrics Faculty of Medical Sciences in ZabrzeMedical University of Silesia in KatowiceKatowice 40-752Poland Dubai Hospital and Al-Jalila Children’s Specialty Hospital Kidney Center of ExcellenceDubai 4545United Arab Emirates Department of Genetics and Genomics UAE UniversityAbu Dhabi 15551United Arab Emirates Department of Pediatrics Division of Genetics and GenomicsBoston Children’s HospitalHarvard Medical SchoolBostonMA 02215USA Department of Pediatrics Center of Pediatric Nephrology and TransplantationKasr Al Ainy School of MedicineCairo UniversityCairo 11562Egypt Egypt Center for Research and Regenerative medicine(ECRRm) Cairo 11511Egypt medical Faculty Skopje University Children’s HospitalSkopje 1000North Macedonia Department of Genetics Yale University School of MedicineNew HavenCT 06520USA

Nephronophthisis-related ciliopathies(NPHP-RC)represent one of the most common causes of chronic kidney disease in the first three decades of life and are characterized by a broad genetic and clinical heterogeneity.1 To date,more than 90 genes have been identified that cause autosomalrecessive NPHP-RC if mutated,accounting for up to 60%of cases.1 Among these,homozygous deletions of NPHP1 are the most common *** genes localize to primary cilia,basal bodies,or the centrosome and lead to a primary ciliary disruption if mutated,thereby causing a broad phenotypical spectrum.1 Patients that suffer from NPHP-RC can either have an isolated renal phenotype,such as polyuria,polydipsia,decreased urinary concentration ability,and secondary enuresis due to loss of tubular function,or present with extrarenal symptoms including retinal degeneration,cerebellar vermis hypoplasia,or hepatic *** are often diagnosed in early adolescence,reaching end-stage renal disease before 25 years of age,but early onset and rapidly progressive forms of NPHP-RC also exist.1 Renal ultrasound indicates kidneys of normal or reduced renal length with increased echogenicity and corticomedullary cysts.

关键词： degeneration urinary likely

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Free radical scavenging activity of three different flowers-Hibiscus rosa-sinensis,Quisqualis indica and Senna surattensis

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Asian Pacific Journal of Tropical Biomedicine 2016年第9期6卷 771-777页

作者： Abd el-moneim mohamed Radwan Afify hazem mohamed mahmoud Hassan Biochemistry Department Faculty of AgricultureCairo University

Objective:To evaluate three flowers of Hibiscus rosa-sinensis(***-sinensis),Quisqualis indica(***) and Senna surattensis(***) for their antioxidant activity by different methods in addition to total phenolic,flavonoid and pigment ***:Antioxidant activity of water,ethanol and absolute ethanol extracts of three flowers; ***-sinensis,*** and *** was *** antioxidant activity was assessed by 1,1-diphenyl-2-picrylhydrazyl free radical scavenging activity,ferrous chelating activity,reducing power,nitric oxide scavenging activity,hydroxyl radical scavenging activity as well as total antioxidant *** flavonoids,total phenols and total pigments including chlorophylls and carotenoids were measured for the three ***:The results showed that the highest total antioxidant capacity at concentration of 500 mg/L was found in *** as 0.479 ± *** activity of ***,*** and *** flower extracts against 1,1-diphenyl-2-picrylhydrazyl radical showed the highest activity of(90.20 ± 0.29)% with 500 mg/*** screening of the three flowers extracts were carried out for alkaloids,flavonoids,saponins,tannins,steroids,glycosides,terpenoids,amino acid and ***-sinensis showed the total phenolic in water extract of(235.77 ± 14.31) mg/100 g,the other two flowers *** and *** had the total phenolic in ethanol extracts of(937.70 ± 25.06) and(850.30 ± 13.81) mg/100 g,*** the other hand total flavonoids were identified in absolute ethanol extracts in the three flowers[(32.83 ± 1.34),(49.24 ± 4.87) and(2.79 ± 0.23) mg/100 g,respectively].Conclusions:The extracts in the constituents of the three flowers could be used as additives as supplement fractions in foods.

关键词： Free radical Antioxidant Hibiscus rosa-sinensis Quisqualis indica Senna surattensis

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Performance Comparison of Field-oriented Control,Direct Torque Control,and model-predictive Control for SynRms

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Chinese Journal of electrical Engineering 2022年第1期8卷 24-37页

作者： hazem Hadla Fernando Santos Polytechnic Institute of Viseu Higher School of Technology and Management of LamegoLamego 5100-074Portugal

Simulation studies of three synchronous reluctance motor(SynRm)control strategies are presented:field-oriented control(FOC),direct torque control(DTC),and finite-set model-predictive control(FS-mPC).FOC uses linear controllers and pulse-width modulation to control the fundamental components of the load voltages *** contrast,DTC and FS-mPC are nonlinear strategies wherein the voltage vectors are directly generated in the absence of a *** operating principles and control structures of these control strategies are ***,a comparative analysis of the static and dynamic performance of the control strategies is conducted using matlab/Simulink to identify their advantages and *** is confirmed that each of the control strategies has merits and that all three of them satisfy the requirements of modern high-performance drives.

关键词： Field-oriented control direct torque control model-predictive control synchronous reluctance motor

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UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm

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Computers, materials & Continua 2022年第9期72卷 5999-6013页

作者： Rania m Tawfik hazem A.A.Nomer m.Saeed Darweesh Ali Wagdy mohamed Hassan mostafa Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGiza12677Egypt School of Information Technology and Computer Science(ITCS) Nile UniversityGiza12677Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of mathematics and Actuarial Science School of Science and EngineeringThe American University in CairoEgypt electronics and Communications Engineering Department Cairo UniversityEgypt University of Science and Technology Nanotechnology and Nanoelectronics ProgramZewal City of Science and TechnologyOctober Gardens6th of OctoberGiza12578Egypt

Unmanned Aerial Vehicles(UAVs)provide a reliable and energyefficient solution for data collection from the Narrowband Internet of Things(NB-IoT)***,the UAV’s deployment optimization,including locations of the UAV’s stop points,is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection *** this regard,this paper proposes GainingSharing Knowledge(GSK)algorithm for optimizing the UAV’s *** GSK,the number of UAV’s stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an entire *** superiority of using GSK in the tackled problem is verified by simulation in seven *** provides significant results in all seven scenarios compared with other four optimization algorithms used before with the same ***,the NB-IoT is proposed as the wireless communication technology between the UAV and IoT devices.

关键词： NB-IoT UAV GSK stop points optimization

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