检索结果-南通市图书馆

New type of cancer patients based on triangular cubic hesitant fuzzy TOPSIS method

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2020年第1期13卷 55-78页

作者： aliya Fahmi Muhammad Aslam fuad ali ahmed almahdi Fazli Amin Department of Mathematics Hazara University MansehraPakistan Department of Mathematics College of Sciences King Khalid UniversityAbhaSaudi Arabia

In this paper,we define the new idea of triangular cubic hesitant fuzzy number(TCHFN).We discuss some basic operational laws of triangular cubic hesitant fuzzy number and hamming distance of *** introduce the new concept of triangular cubic hesitant TOPSIS ***,we extend the classical cubic hesitant the technique for order of preference by similarity to ideal solution(TOPSIS)method to solve the Multi-Criteria decision-making(MCDM)method based on triangular cubic hesitant TOPSIS *** new ranking method for TCHFNs is used to rank the ***,an illustrative example is given to verify and demonstrate the practicality and effectiveness of the proposed method.

关键词： Triangular cubic hesitant fuzzy number MCDM triangular cubic hesitant fuzzy TOPSIS method numerical application.

Evolutionary Algorithsm with Machine Learning Based Epileptic Seizure Detection Model

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9期72卷 4541-4555页

作者： Manar ahmed Hamza Noha Negm Shaha Al-Otaibi Amel AAlhussan Mesfer Al Duhayyim fuad ali Mohammed Al-Yarimi Mohammed Rizwanullah Ishfaq Yaseen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz University16278AlKharjSaudi Arabia Department of Computer Science College of Science and ArtsKing Khalid UniversityMahayilAsir62529Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz University16278Saudi Arabia

Machine learning (ML) becomes a familiar topic among decisionmakers in several domains, particularly healthcare. Effective design of MLmodels assists to detect and classify the occurrence of diseases using healthcaredata. Besides, the parameter tuning of the ML models is also essentialto accomplish effective classification results. This article develops a novelred colobuses monkey optimization with kernel extreme learning machine(RCMO-KELM) technique for epileptic seizure detection and *** proposed RCMO-KELM technique initially extracts the chaotic, time,and frequency domain features in the actual EEG signals. In addition, the minmax normalization approach is employed for the pre-processing of the EEGsignals. Moreover, KELM model is used for the detection and classificationof epileptic seizures utilizing EEG signal. Furthermore, the RCMO techniquewas utilized for the optimal parameter tuning of the KELM technique insuch a way that the overall detection outcomes can be considerably *** experimental result analysis of the RCMO-KELM technique has beenexamined using benchmark dataset and the results are inspected under severalaspects. The comparative result analysis reported the better outcomes of theRCMO-KELM technique over the recent approaches with the accuy of 0.956.

关键词： Epileptic seizures eeg signals machine learning kelm parameter tuning rcmo algorithm

Blockchain Mobile Wallet with Secure Offline Transactions

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 2023年第5期75卷 2905-2919页

作者： Raed Saeed Rasheed Khalil Hamdi Ateyeh Al-Shqeerat ahmed Salah Ghorab fuad Salama AbuOwaimer Aiman ahmed AbuSamra Faculty of Engineering Islamic University of GazaP.O.Box 108GazaPalestine Department of Computer Science College of ComputerQassim UniversityP.O.Box 52211BuraydahSaudi Arabia University College of Applied Sciences P.O.Box 1415GazaPalestine Palestine Technical College P.O.Box 6037Deir ElBalahPalestine

There has been an increase in the adoption of mobile payment systems worldwide in the past few ***,poor Internet connection in rural regions continues to be an obstacle to the widespread use of such *** top of that,there are significant problems with the currently available offline wallets;for instance,the payee cannot verify the number of coins received without access to the ***,it has been demonstrated that some existing systems are susceptible to false token generation,and some do not even permit the user to divide the offline token into smaller portions to be used as *** paper proposes a blockchainbased wallet system that provides a secure mobile payment service even if a user cannot access a reliable Internet *** approach relies on Bluetooth and digital signatures to establish and build a trust connection between the *** proposed solution overcomes the main limitations of existing systems that use offline transactions,such as the generation of fake offline tokens and the indivisibility of offline *** user buys Offline Tokens(OTs)from a server called an Offline Token Manager(OTM)to use them later to perform offline *** mobile device must store a single,signed offline token transaction to prevent fake *** the other hand,all offline transactions will be kept as a history in a particular local ***,when the receiver becomes online,it will send a convert request to the OTMto change the value of the OTs to the appropriate amount in real *** step requires a connection to the *** evaluate the effectiveness of the system,the Solidity programming language was used to develop a smart contract on the Ethereum blockchain with a backend application programming interface(API)and an android mobile *** proposed method has an advantage over other prominent wallets.

关键词： Mobile wallet blockchain smart contracts digital signature

Resource Exhaustion Attack Detection Scheme for WLAN Using Artificial 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

Computers, Materials & Continua 2023年第3期74卷 5607-5623页

作者： Abdallah Elhigazi Abdallah Mosab Hamdan Shukor Abd Razak fuad A.Ghalib Muzaffar Hamzah Suleman Khan Siddiq ahmed Babikir ali Mutaz H.H.Khairi Sayeed Salih Faculty of Engineering Future UniversityKhartoum 10553Sudan Faculty of Computing and Informatics Universiti Malaysia SabahKota Kinabalu88400Malaysia Information Assurance and Security Research School of ComputingUniversiti Teknologi MalaysiaJohor81310Malaysia School of Psychology and Computer Science University of Central LancashirePreston PR12HEUK Deaptement of Management Information Systems College of Administrative ScienceApplied Science UniversityAl Eker623Bahrain Deaptement of Information Technology College of Computer and Information SciencesKing Saud UniversityRiyadh11461Saudi Arabia

IEEE 802.11 Wi-Fi networks are prone to many denial of service(DoS)attacks due to vulnerabilities at the media access control(MAC)layer of the 802.11 *** to the data transmission nature of the wireless local area network(WLAN)through radio waves,its communication is exposed to the possibility of being attacked by illegitimate ***,the security design of the wireless structure is vulnerable to versatile *** example,the attacker can imitate genuine features,rendering classificationbased methods inaccurate in differentiating between real and false *** security standards have been proposed over the last decades to overcome many wireless network attacks,effectively detecting such attacks is crucial in today’s real-world *** paper presents a novel resource exhaustion attack detection scheme(READS)to detect resource exhaustion attacks *** proposed scheme can differentiate between the genuine and fake management frames in the early stages of the attack such that access points can effectively mitigate the consequences of the *** scheme is built through learning from clustered samples using artificial neural networks to identify the genuine and rogue resource exhaustion management frames effectively and efficiently in *** proposed scheme consists of four modules whichmake it capable to alleviates the attack impact more effectively than the related *** experimental results show the effectiveness of the proposed technique by gaining an 89.11%improvement compared to the existing works in terms of detection.

关键词： 802.11 media access control(MAC) wireless local area network(WLAN) artificial neural network denial-of-service(DoS)

Developing Lexicons for Enhanced Sentiment Analysis in Software Engineering:An Innovative Multilingual Approach for Social Media Reviews

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 2024年第5期79卷 2771-2793页

作者： Zohaib Ahmad Khan Yuanqing Xia ahmed Khan Muhammad Sadiq Mahmood Alam fuad AAwwad Emad A.A.Ismail School of Automation Beijing Institute of TechnologyBeijing100081China Department of Computer Science and Technology University of Science and Technology BannuKPKBannu28100Pakistan School of Computer Science and Engineering Central South UniversityChangsha410083China Department of Quantitative Analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia

Sentiment analysis is becoming increasingly important in today’s digital age, with social media being a significantsource of user-generated content. The development of sentiment lexicons that can support languages other thanEnglish is a challenging task, especially for analyzing sentiment analysis in social media reviews. Most existingsentiment analysis systems focus on English, leaving a significant research gap in other languages due to limitedresources and tools. This research aims to address this gap by building a sentiment lexicon for local languages,which is then used with a machine learning algorithm for efficient sentiment analysis. In the first step, a lexiconis developed that includes five languages: Urdu, Roman Urdu, Pashto, Roman Pashto, and English. The sentimentscores from SentiWordNet are associated with each word in the lexicon to produce an effective sentiment score. Inthe second step, a naive Bayesian algorithm is applied to the developed lexicon for efficient sentiment analysis ofRoman Pashto. Both the sentiment lexicon and sentiment analysis steps were evaluated using information retrievalmetrics, with an accuracy score of 0.89 for the sentiment lexicon and 0.83 for the sentiment analysis. The resultsshowcase the potential for improving software engineering tasks related to user feedback analysis and productdevelopment.

关键词： Emotional assessment regional dialects SentiWordNet naive bayesian technique lexicons software engineering user feedback

Intelligent Deer Hunting Optimization Based Grid Scheduling Scheme

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7期72卷 181-195页

作者： Mesfer Al Duhayyim Majdy M.Eltahir Imène Issaoui Fahd N.Al-Wesabi Anwer Mustafa Hilal fuad ali Mohammed Al-Yarimi Manar ahmed Hamza Abu Sarwar Zamani Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Natural and Applied Sciences Community CollegeQassim UniversityAl-Bukairiyah52571Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

The grid environment is a dynamic,heterogeneous,and changeable computing system that distributes various services amongst different *** attain the benefits of collaborative resource sharing in Grid computing,a novel and proficient grid resource management system(RMS)is ***,detection of an appropriate resource for the presented task is a difficult *** scientists have presented algorithms for mapping tasks to the *** of them focus on fault tolerance,user fulfillment,and load *** this motivation,this study designs an intelligent grid scheduling scheme using deer hunting optimization algorithm(DHOA),called IGSS-DHOA which schedules in such a way that the makespan gets minimized in the grid *** IGSS-DHOA technique is mainly based on the hunting nature of humans toward *** also derives an objective function with candidate solution(schedule)as input and the outcome is the makespan value denoting the quality of the candidate *** simulation results highlighted the supremacy of the IGSS-DHOA technique over the recent state of art techniques with the minimal average processing cost of 31717.9.

关键词： Grid services grid scheduling resources makespan np hard problem metaheuristics

Evaluation of Micro Leakage of Two Direct Esthetic Restorations with Different Preparation Techniques

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Open Journal of Stomatology 2017年第4期7卷 264-276页

作者： ahmed Mohammed El-Marakby fuad Abdo Al-Sabri ahmed Tharwat Alammary ahmed Ata AbdAlghany Department of Restorative Dental Sciences AL-Farabi College Riyadh KSA Department of Operative Dentistry Faculty of Dentistry Al-Azhar University Assiute Branch Egypt Department of Operative Dentistry Faculty of Dentistry Thamar University Dhamar Yemen Operative Dentistry Department Faculty of Dental Medicine Al-Azhar University Assiute Branch Egypt

Objectives: In recent times, the term “minimal intervention dentistry” has coined to describe a new approach to the treatment of the disease of caries. This study was carried out to evaluate the marginal integrity of class V cavity in permanent posterior teeth prepared with different air abrasion parameters compared with classical rotary cavity preparation. Methods: A total number of 150 sound caries for free human posterior teeth were used in this study. Teeth were extracted for periodontal disease or orthodontic reasons and the average age of patients between 20 - 35 years. Teeth were divided according to the type of restoration into two main groups: Group I (n = 75) restored with low shrinkable posterior composite (P90) and Group II (n = 75) restored with Ketac nano ionomer (N100). Each main group was divided into five groups (n = 15), then each group was further subdivided into three subgroups (n = 5) according to the storage time (immediately, three months, and six months). All teeth would be tested at both occlusal and gingival margins of prepared class V cavity according to the method of cavity preparation. Results: A high significant difference was found in the mean ranks of micro-leakageat both occlusal enamel and gingival dentin walls among Groups 1 - 5 (p-value of Conclusion: Low shrinkable silorane based composite yielded better results of micro-leakage scores along the occlusal enamel and gingival dentin walls when the cavity of class V was prepared with air abrasion technique with large size alumina particles under high pressure at immediate storage time as compared with Ketac N100.

关键词： Air Abrasion Low Shrink Composite Nano Ionomer Micro Leakage

Urinary neutrophil gelatinase-associated lipocalin(NGAL)and serum cystatin C measurements for early diagnosis of acute kidney injury in children admitted to PICU

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Pediatrics 2018年第2期14卷 134-142页

作者： Jameela Abdulaziz Kari Mohamed ahmed Shalaby Kholoud Sofyani Ahmad Saleh Sanad Albaraa fuad Ossra Rayan Smeer Halabi Maha Hassan Aljuhani Wael Mohammad Toffaha Feras Aymen Moria Samar Sabry Hanan AbdelAziz ahmed Khalid Abdulaziz Alhasan Sara Sharief Osama Safdar Pediatric Nephrology Center of Excellence and Department of Pediatrics King Abdulaziz University80215Jeddah 21589Kingdom of Saudi Arabia Pediatric Intensive Care Unit Department of PediatricsKing Abdulaziz UniversityJeddahKingdom of Saudi Arabia Pediatric Department Cairo UniversityGizaEgypt Department of Pediatrics College of MedicineKing Khalid University HospitalKing Saud UniversityRiyadhKingdom of Saudi Arabia

Background Acute kidney injury(AKI)is common in critically ill children with significant mortality and *** creatinine is an insensitive and late biomarker compared to newly proposed AKI *** Prospective study in pediatric intensive care unit(PICU)over three months to compare between serum cystatin-C(s-Cys-C)and urinary neutrophil gelatinase-associated lipocalin(uNGAL)as AKI biomarkers at multiple time points with pediatric risk,injury,failure,loss,end-stage renal disease(pRIFLE)classification in diagnosing *** Forty children were *** these 40 children,22 developed AKI according to pRIFLE *** was no significant difference between AKI and non-AKI in age(P=0.29).Post cardiac surgery,renal insult was the main cause of AKI(27.3%).There was a twofold increased risk of incident AKI in those patients with high baseline uNGAL at PICU admission and almost a fourfold increased risk in patients with high baseline s-Cys-C at PICU *** levels were highly predictive of AKI during the follow-up period[area under the curve(AUC)=0.76,95%confidence interval(CI)0.61-0.92].The cutoff point with the highest correctly classified proportion was 223 ng/mL(≥12 centiles)which correctly predict 80.0%patients with AKI,with a corresponding sensitivity of 72.7%and a specificity of 89.9%.AUC for s-Cys-C was 0.86(95%CI 0.75-0.97),and the highest correctly classified proportion was 1009μg/L(≥13 centiles);75%of patients with AKI,with a corresponding sensitivity of 63.6%and a specificity of 88.9%.Conclusion uNGAL and s-Cys-C predicts AKI early in critically ill children.

关键词： Acute kidney injury Neutrophil gelatinase-associated lipocalin Serum cystatin C

时标上带有反馈控制的非自治两种群竞争系统的概周期解

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

数学物理学报（A辑） 2017年第4期37卷 730-750页

作者：李周红张丰硕曹进德 Alsaedi ahmed Alsaadi fuad E 玉溪师范学院数学系云南玉溪653100 东南大学数学学院南京210096 Department of Mathematics Faculty of ScienceKing Abdulaziz University Nonlinear Analysis and Applied Mathematics Research Group Department of MathematicsKing Abdulaziz University Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz University

该文利用时标理论,研究了一类时标上带有反馈控制的非自治两种群竞争系统.首先应用微分不等式和比较原理得到了系统的持久性,在此基础上,构造了一个合适的Lyapunov泛函,得到系统存在概周期解的充分条件.进一步,应用一个例子的数值模拟... 详细信息

该文利用时标理论,研究了一类时标上带有反馈控制的非自治两种群竞争系统.首先应用微分不等式和比较原理得到了系统的持久性,在此基础上,构造了一个合适的Lyapunov泛函,得到系统存在概周期解的充分条件.进一步,应用一个例子的数值模拟验证了该文结果的有效性.

关键词：概周期解持久竞争系统反馈控制时标