检索结果-南通市图书馆

Journal of Ocean Engineering and Science 2022年第2期7卷 163-169页

作者： Marwan Alquran mohammed ali Hammad Jadallah Department of Mathematics and Statistics Jordan University of Science&TechnologyIrbid 22110Jordan

In this paper,new explicit unidirectional wave solutions for the modified-mixed KdV equation and bidi-rectional waves for the Benjamin Ono equation are *** extension of the rational sine-cosine and sinh-cosh methods are *** addition,an extension of the recent polynomial function method is applied as *** types of topological and non-topological soliton solutions are extracted to the proposed models and categorized by providing 2D and 3D ***,some physical properties of the new bidirectional waves solutions to the Benjamin Ono model are discussed.

关键词： Single-wave solutions Two-waves solutions Extended rational sine-cosine method Extended rational sinh-cosh method Polynomial-function method

Computation and parameterization of normalized glandular dose using Geant4

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nuclear Science and Techniques 2015年第3期26卷 51-56页

作者： Omrane Kadri mohammed ali Alnafea Khaled Shamma Department of Radiological Sciences College of Applied Medical SciencesKing Saud University National Center for Nuclear Sciences and Technologies

The average absorbed dose in glandular tissue is the most appropriate parameter for the assessment of the radiation-induced risk during breast imaging. The aims of this work concern:(1) the investigation of the variation effect of any related update to photon cross-section data-bases on the computation of the normalized glandular dose(Dg N) for mammography quality control tests and(2) the proposition of a parameterization method leading to provide Dg N values function of the breast thickness(T) and the particle energy(E) instead of E alone, as normally known. We analyzed the change effect of the photon cross-section data-bases on the computation of Dg N. Those coefficients, generated using the Geant4 Monte Carlo toolkit, were studied over a range of compressed breast thickness of 2–8 cm for monoenergetic(1–120 ke V by 1 ke V intervals) and polyenergetic(23–35 k Vp by 2 k Vp intervals) X-ray beams. Moreover, breast tissue composition ranging from about0% glandular(about 100% adipose) to 100% glandular(0% adipose) was also covered. The successful parameterization of Dg N look-up table function of the breast thickness and energy, will compact its analytical form without loss of accuracy. All parameterization fits resulted in r2 values of 0.999 or better.

关键词： Geant4 剂量计算吸收剂量参数化归一化腺体质量控制 X线摄影

A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification

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12期77卷 3969-3992页

作者： Naeem Ullah Javed ali khan Sultan Almakdi mohammed S.Alshehri Mimonah Al Qathrady Eman Abdullah Aldakheel Doaa Sami Khafaga Department of Software Engineering University of Engineering and TechnologyTaxila4400Pakistan Department of Computer Science Faculty of PhysicsEngineeringand Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Departments of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Tomato leaf diseases significantly impact crop production,necessitating early detection for sustainable *** Learning(DL)has recently shown excellent results in identifying and classifying tomato leaf ***,current DL methods often require substantial computational resources,hindering their application on resource-constrained *** propose the Deep Tomato Detection Network(DTomatoDNet),a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome *** Convn kernels used in the proposed(DTomatoDNet)framework is 1×1,which reduces the number of parameters and helps in more detailed and descriptive feature extraction for *** proposed DTomatoDNet model is trained from scratch to determine the classification success rate.10,000 tomato leaf images(1000 images per class)from the publicly accessible dataset,covering one healthy category and nine disease categories,are utilized in training the proposed DTomatoDNet *** specifically,we classified tomato leaf images into Target Spot(TS),Early Blight(EB),Late Blight(LB),Bacterial Spot(BS),Leaf Mold(LM),Tomato Yellow Leaf Curl Virus(YLCV),Septoria Leaf Spot(SLS),Spider Mites(SM),Tomato Mosaic Virus(MV),and Tomato Healthy(H).The proposed DTomatoDNet approach obtains a classification accuracy of 99.34%,demonstrating excellent accuracy in differentiating between tomato *** model could be used on mobile platforms because it is lightweight and designed with fewer *** farmers can utilize the proposed DTomatoDNet methodology to detect disease more quickly and easily once it has been integrated into mobile platforms by developing a mobile application.

关键词： CNN deep learning DTomatoDNet tomato leaf disease classification smart agriculture

Intelligent Forecasting Model of COVID-19 Novel Coronavirus Outbreak Empowered with Deep Extreme Learning Machine

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 2020年第9期64卷 1329-1342页

作者： Muhammad Adnan khan Sagheer Abbas Khalid Masood khan mohammed AAl Ghamdi Abdur Rehman Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science Umm Al-Qura UniversityMakkah23500Saudi Arabia

An epidemic is a quick and widespread disease that threatens many lives and damages the *** epidemic lifetime should be accurate so that timely and remedial steps are *** include the closing of borders schools,suspension of community and commuting *** forecast of an outbreak effectively is a very necessary but difficult task.A predictive model that provides the best possible forecast is a great challenge for machine learning with only a few samples of training *** work proposes and examines a prediction model based on a deep extreme learning machine(DELM).This methodology is used to carry out an experiment based on the recent Wuhan coronavirus *** optimized prediction model that has been developed,namely DELM,is demonstrated to be able to make a prediction that is fairly *** results show that the new methodology is useful in developing an appropriate forecast when the samples are far from abundant during the critical period of the *** the investigation,it is shown that the proposed approach has the highest accuracy rate of 97.59%with 70%of training,30%of test and *** results validate the prediction effectiveness of the proposed scheme.

关键词： Coronavirus nCoV DELM Mis rate SERS-CoV WHO COVID-19

Slicing-Based Enhanced Method for Privacy-Preserving in Publishing Big Data

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 2022年第8期72卷 3665-3686页

作者： mohammed BinJubier Mohd Arfian Ismail Abdulghani ali Ahmed ali Safaa Sadiq Faculty of Computing Universiti Malaysia PahangKuantanPahangMalaysia School of Computer Science and Informatics De Montfort UniversityLeicesterLE19BHUnited Kingdom School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonWulfruna Street WolverhamptonWV11LYUnited Kingdom

Publishing big data and making it accessible to researchers is important for knowledge building as it helps in applying highly efficient methods to plan,conduct,and assess scientific ***,publishing and processing big data poses a privacy concern related to protecting individuals’sensitive information while maintaining the usability of the published *** anonymization methods,such as slicing and merging,have been designed as solutions to the privacy concerns for publishing big ***,the major drawback of merging and slicing is the random permutation procedure,which does not always guarantee complete protection against attribute or membership ***,merging procedures may generatemany fake tuples,leading to a loss of data utility and subsequent erroneous knowledge *** study therefore proposes a slicingbased enhanced method for privacy-preserving big data publishing while maintaining the data *** particular,the proposed method distributes the data into horizontal and vertical *** lower and upper protection levels are then used to identify the unique and identical attributes’*** unique and identical attributes are swapped to ensure the published big data is protected from disclosure *** outcome of the experiments demonstrates that the proposed method could maintain data utility and provide stronger privacy preservation.

关键词： Big data big data privacy preservation anonymization data publishing

X-Ray Covid-19 Detection Based on Scatter Wavelet Transform and Dense Deep Neural Network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2022年第6期41卷 1255-1271页

作者： ali Sami Al-Itbi Ahmed Bahaaulddin A.Alwahhab ali mohammed Sahan Informatics Department Technical College of ManagementMiddle Technical UniversityBaghdadIraq

Notwithstanding the discovery of vaccines for Covid-19, the virus'srapid spread continues due to the limited availability of vaccines, especially inpoor and emerging countries. Therefore, the key issues in the presentCOVID-19 pandemic are the early identification of COVID-19, the cautiousseparation of infected cases at the lowest cost and curing the disease in the earlystages. For that reason, the methodology adopted for this study is imaging tools,particularly computed tomography, which have been critical in diagnosing andtreating the disease. A new method for detecting Covid-19 in X-rays and CTimages has been presented based on the Scatter Wavelet Transform and DenseDeep Neural Network. The Scatter Wavelet Transform has been employed as afeature extractor, while the Dense Deep Neural Network is utilized as a binaryclassifier. An extensive experiment was carried out to evaluate the accuracy ofthe proposed method over three datasets: IEEE 80200, Kaggle, andCovid-19 X-ray image data Sets. The dataset used in the experimental part consists of 14142. The numbers of training and testing images are 8290 and 2810,respectively. The analysis of the result refers that the proposed methods achievedhigh accuracy of 98%. The proposed model results show an excellent outcomecompared to other methods in the same domain, such as (DeTraC) CNN, whichachieved only 93.1%, CNN, which achieved 94%, and stacked Multi-ResolutionCovXNet, which achieved 97.4%. The accuracy of CapsNet reached 97.24%.

关键词： Covid-19 detection scatter wavelet transform deep learning dense Deep Neural Network

Investigain:A Productive Asset Management Web Application

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2021年第8期38卷 151-164页

作者： Rabbani Rasha Mohammad Monirujjaman khan Mehedi Masud mohammed AAlZain Department of Electrical and Computer Engineering North South UniversityBashundharaDhaka 1229Bangladesh Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia

The Investigain is a progressive web application to make mutual funds investments through a Systematic Investment *** application utilizes the web’s modern capabilities,such as Asynchronous JavaScript and XML(AJAX),JavaScript,and Hypertext Marker Language(HTML5).The application also uses a powerful relational database management system,such as MySQL,to display asset management *** application has two portals,one for investors and one for a particular asset manager or asset management *** investor has an account in the investor *** investor can view his/her profile,current balance,balance history,dividends,the units of mutual funds bought,unit price,the value of each mutual fund,and can pay installments using an embedded online payment *** managers can monitor all investments,manage user accounts,and reimburse dividends using the admin *** paper also presents the experimental results of using the Investigain application,compares them with existing systems,and details the application’s prospect to improve its socio-economic *** system’s frontend is designed with Bootstrap and jQuery *** backend is designed using Hypertext Preprocessor(PHP)server-side scripting *** system demonstrated increased satisfaction from its clients.

关键词： Asset management mutual fund web application systematic investment plan investment web internet net asset value capital market

Robust tracking control of a robot manipulator using a passivity-based extended-state observer 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

IET Cyber-Systems and Robotics 2019年第2期1卷 63-71页

作者： mohammed ali C.K.Alexander Department of Electrical Engineering Computer Science Cleveland State UniversityClevelandOhio 44115USA

study presents a combination of the robust passivity-based controller(RPBC)and an extended state observer(ESO)for the tracking control of a three degree-of-freedom PUMA 500 robot manipulator under parameter variations and external *** dynamic model of the PUMA robot and its structural properties are *** extra state in the ESO estimates the parameter variations and external disturbances in the control *** the RPBC cancels them in the control *** stability of the proposed control system and the convergence of the observation errors are *** prove that the proposed controller is robust and tracks well under parameter variations,and external disturbances,validating the proposed control scheme.

关键词： robot state PUMA

Metabolic associated fatty liver disease and cancer risk: causal role or epiphenomenon?

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Hepatobiliary Surgery and Nutrition 2020年第6期9卷 774-776页

作者： ali Bayoumi mohammed Shatat mohammed Eslam Storr Liver Centre Westmead Institute for Medical ResearchWestmead Hospital and University of SydneyWestmeadNSWAustralia Department of Internal Medicine Faculty of MedicineMinya University HospitalMinyaEgypt

The majority of global deaths are attributed to one of the noncommunicable diseases(NCDs),and cancer is projected to be the leading cause of death worldwide in the 21st century(1).There were 18.1 million incident cancer cases worldwide in 2018,43.8 million are living with cancer and 9.6 million deaths from *** in 6 deaths is due to cancer and these numbers are projected to rise to 13 million by 2030,more than that from tuberculosis,malaria and HIV/AIDS *** addition,the total annual global cost of cancer was estimated at around US$1.16 trillion,representing a significant burden on health care systems and families(1).

关键词： cancer diseases tuberculosis

An Optimized Method for Accounting Information in Logistic Systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第5期45卷 1595-1609页

作者： Ahmad mohammed Alamri Ahmad ali AlZubi Administrative Sciences Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia Computer Science Department Community CollegeKing Saud UniversityP.O.Box 28095Riyadh11437Saudi Arabia

In the era of rapid information development,with the popularity of computers,the advancement of science and technology,and the ongoing expansion of IT technology and business,the enterprise resource planning(ERP)system has evolved into a platform and a guarantee for the fulfilment of company management procedures after long-term *** of developments in information technology,most manual accounting procedures are being replaced by computerized Accounting Information Systems(AIS),which are quicker and more *** primary factors influencing the decisions of logistics firm trading parties are investigated in order to enhance the design of decision-supporting modules and to improve the performance of logistics enterprises through *** paper proposed a novel approach to calculate the weights of each information element in order to establish their important *** main purpose of this research is to present a quantitative analytic approach for determining the important information of logistics business collaboration ***,the idea of total orders and the significant degrees stated above are used to identify the optimal order of all information *** the three ways of marginal revenue,marginal cost,and business matching degree,the information with cumulative weights is which is deployed to form the data from the intersection of the best *** has the ability to drastically reduce the time and effort required to create a logistics business control/decision-making system.

关键词： Accounting information systems decisions systems corporate accounting logistic system