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VacChain:A Blockchain-Based EMR System to Manage Child Vaccination Records

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Computer Systems Science & Engineering 2022年第3期40卷 927-945页

作者： Azza Abdullah Alnssayan Mohammad Mahdi Hassan suliman A.Alsuhibany Department of Computer Science Qassim UniversityBuraydah51431Saudi Arabia

The digitalization of healthcare-related information service systems has become a trend across the ***,several crucial services are still provided manually due to a lack of trust in digital *** such service is keeping records of children’s vaccination,which still relies on a paper-based file system in most parts of the *** approach causes serious data integrity ***,healthcare has become a potential application area of the blockchain,as it can preserve and protect highly sensitive private medical records while sharing these records in a decentralized manner without losing personal ***,we propose a new digital model to track a child’s vaccination records using *** particular,this proposed application helps improve the vaccination record-keeping process by ensuring the integrity of the preserved data in a more secure *** an emerging pandemic situation,our approach can be extended to manage the overall vaccination process effectively.

关键词： Blockchain vaccination healthcare Hyperledger Fabric

Analytical Investigation of Soliton Solutions to Three Quantum Zakharov-Kuznetsov Equations

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Communications in Theoretical Physics 2018年第10期70卷 405-412页

作者： Rahmatullah Ibrahim Nuruddeen Khalid suliman Aboodh Khalid K. Ali Department of Mathematics Federal University Dutse Department of Mathematics Faculty of Science & Technology Omdurman Islamic University Department of Mathematics Faculty of Science & Arts University of Bisha Mathematics Department Faculty of Science Al-Azhar University

In the present paper, the two-dimensional quantum Zakharov-Kuznetsov(QZK) equation, three-dimensional quantum Zakharov-Kuznetsov equation and the three-dimensional modified quantum Zakharov-Kuznetsov equation are analytically investigated for exact solutions using the modified extended tanh-expansion based method. A variety of new and important soliton solutions are obtained including the dark soliton solution, singular soliton solution, combined dark-singular soliton solution and many other trigonometric function solutions. The used method is implemented on the Mathematica software for the computations as well as the graphical illustrations.

关键词： two-dimensional QZK equation three-dimensional QZK equations soliton solutions

Role of ethnicity in social anxiety disorder: A cross-sectional survey among health science students

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World Journal of Clinical Cases 2014年第7期2卷 265-271页

作者： Philip De Jager Sharain suliman Soraya Seedat Vrije Universiteit Faculty of Health Sciences1055 VB AmsterdamThe Netherlands Department of Psychiatry Faculty of Medicine and Health SciencesStellenbosch UniversityTygerberg 7505South Africa

AIM: To investigate the influence of ethnicity in social anxiety disorder(SAD), and the relationship with symptom severity, depression and substance use or abuse, in health sciences' ***: This was a cross-sectional survey of 112 1st, 2nd and 3rd year students from the Faculty of Medicine and Health Sciences at Stellenbosch University, Cape Town, South Africa. The self-reported Social Anxiety Spectrum questionnaire was used to assess for SAD. The Social Phobia Inventory(SPIN) was adapted to a version called the E-SPIN(Ethnic-SPIN) in order to evaluate the effects of ethnicity. Two sub-questions per stem question were included to assess whether SAD symptoms in social interactions were ethnicity dependent. Substance use was assessed with the Alcohol UseDisorders Identification Test and Drug Use Disorders Identification Test, and depression with the Centre for Epidemiological Studies Depression ***: Of 112 students who completed the E-SPIN questionnaire, 54.4%(n = 61) met criteria for SAD, with significantly more females than males meeting criteria. Ethnicity had a significant effect on SAD symptomatology, but there was no effect of ethnicity on the rates of drug and alcohol abuse in students with and without SAD. Overall significantly more students with SAD met criteria for depression compared with students without the disorder. CONCLUSION: Among university students, SAD is prevalent regardless of whether interactions are with individuals of the same or different ethnic group. However, ethnicity may be an important determinant of social anxiety for some ethnic groups. SAD was significantly associated with major depression but not significantly associated with drug or alcohol abuse.

关键词： Social anxiety Social phobia Ethnicity Students South Africa

Dates Fruit Recognition: From Classical Fusion to Deep Learning

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Computer Systems Science & Engineering 2022年第1期40卷 151-166页

作者： Khaled Marji Alresheedi suliman Aladhadh Rehan Ullah Khan Ali Mustafa Qamar Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computing School of Electrical Engineering and Computer Science(SEECS)National University of Sciences and Technology(NUST)IslamabadPakistan

There are over 200 different varieties of dates fruit in the ***,every single type has some very specific features that differ from the *** recent years,sorting,separating,and arranging in automated industries,in fruits businesses,and more specifically in dates businesses have inspired many research *** this regard,this paper focuses on the detection and recognition of dates using computer vision and machine *** experimental setup is based on the classical machine learning approach and the deep learning approach for nine classes of dates *** machine learning includes the Bayesian network,Support Vector Machine,Random Forest,and Multi-Layer Perceptron(MLP),while the Convolutional Neural Network is used for the deep learning *** feature set includes Color Layout features,Fuzzy Color and Texture Histogram,gabor filtering,and the Pyramid Histogram of the Oriented *** fusion of various features is also extensively explored in this *** MLP achieves the highest detection performance with an F-measure of ***,deep learning shows better accuracy than the classical machine learning *** fact,deep learning got 2%more accurate results as compared to the MLP and the Random *** also show that classical machine learning could give increased classification performance which could get close to that provided by deep learning through the use of optimized tuning and a good feature set.

关键词： features Deep separating

The Impact of Check Bits on the Performance of Bloom Filter

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Computers, Materials & Continua 2022年第12期73卷 6037-6046页

作者： Rehan Ullah Khan Ali Mustafa Qamar suliman A.Alsuhibany Mohammed Alsuhaibani Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia

Bloom filter(BF)is a space-and-time efficient probabilistic technique that helps answermembership ***,BF faces several *** problems with traditional BF are generally ***,a large number of false positives can return wrong content when the data is ***,the large size of BF is a bottleneck in the speed of querying and thus uses large *** order to solve the above two issues,in this article,we propose the check bits *** the implementation perspective,in the check bits approach,before saving the content value in the BF,we obtain the binary representation of the content ***,we take some bits of the content value,we call these the check *** bits are stored in a separate array such that they point to the same location as the ***,the content value(data)is stored in the BF based on the hash function *** retrieval of data from BF,the reverse process of the steps ensures that even if the same hash functions output has been generated for the content,the check bits make sure that the retrieval does not depend on the hash output *** thus helps in the reduction of false *** the experimental evaluation,we are able to reduce more than 50%of false *** our proposed approach,the false positives can still occur,however,false positives can only occur if the hash functions and check bits generate the same value for a particular *** chances of such scenarios are less,therefore,we get a reduction of approximately more than 50%false positives in all *** believe that the proposed approach adds to the state of the art and opens new directions as such.

关键词： Bloom filter big data network processing optimization check bits

Recurrent Convolutional Neural Network MSER-Based Approach for Payable Document Processing

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Computers, Materials & Continua 2021年第12期69卷 3399-3411页

作者： suliman Aladhadh Hidayat Ur Rehman Ali Mustafa Qamar Rehan Ullah Khan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Ainfinity Algorythma Abu DhabiUnited Arab Emirates Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computing School of Electrical Engineering and Computer Science(SEECS)National University of Sciences and Technology(NUST)IslamabadPakistan

A tremendous amount of vendor invoices is generated in the corporate *** automate the manual data entry in payable documents,highly accurate Optical Character Recognition(OCR)is *** paper proposes an end-to-end OCR system that does both localization and recognition and serves as a single unit to automate payable document processing such as cheques and cash *** text localization,the maximally stable extremal region is used,which extracts a word or digit chunk from an *** chunk is later passed to the deep learning model,which performs text *** deep learning model utilizes both convolution neural networks and long short-term memory(LSTM).The convolution layer is used for extracting features,which are fed to the *** model integrates feature extraction,modeling sequence,and transcription into a unified *** handles the sequences of unconstrained lengths,independent of the character segmentation or horizontal scale ***,it applies to both the lexicon-free and lexicon-based text recognition,and finally,it produces a comparatively smaller model,which can be implemented in practical *** overall superior performance in the experimental evaluation demonstrates the usefulness of the proposed *** model is thus generic and can be used for other similar recognition scenarios.

关键词： Character recognition text spotting long short-term memory recurrent convolutional neural networks

Automatic Crop Expert System Using Improved LSTM with Attention Block

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Computer Systems Science & Engineering 2023年第11期47卷 2007-2025页

作者： Shahbaz Sikandar Rabbia Mahum suliman Aladhadh Computer Science Department University of Engineering and TechnologyTaxilaPakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia

Agriculture plays an important role in the economy of any *** half of the population of developing countries is directly or indirectly connected to the agriculture *** farmers do not choose the right crop for cultivation depending on their soil type,crop type,and climatic requirements like *** wrong decision of crop selection directly affects the production of the crops which leads to yield and economic loss in the *** parameters should be observed such as soil characteristics,type of crop,and environmental factors for the cultivation of the right *** decision-making is time-taking and requires extensive ***,there should be an automated system for the right crop recommendation to reduce human efforts and *** automated crop recommender system should take these parameters as input and suggest the farmer’s right ***,in this paper,a long short-term memory Network with an attention block has been *** proposed model contains 27 layers,the first of which is a feature input *** exist 25 hidden layers between them,and an output layer completes the *** these levels,the proposed model enables a successful recommendation of the ***,the dropout layer’s regularization properties aids in reduction of overfitting of the *** this paper,a customized novel long short-term memory(LSTM)model is proposed with a residual attention block that recommends the right crop to *** metrics used for the proposed model include f1-score,recall,precision,and accuracy attaining values as 95.69%,96.56%,96.9%,and 97.26%respectively.

关键词： Crop recommendation LSTM deep neural network

Finger Vein Authentication Based on Wavelet Scattering Networks

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Computers, Materials & Continua 2022年第8期72卷 3369-3383页

作者： Amjad Rehman Majid Harouni Maedeh Omidiravesh suliman Mohamed Fati Saeed Ali Bahaj Artificial Intelligence&Data Analytics Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Engineering Dolatabad BranchIslamic Azad UniversityIsfahanIran Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityIsfahanIran MIS Department College of Business Administration Prince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia

Biometric-based authentication systems have attracted more attention than traditional authentication techniques such as passwords in the last two *** biometrics such as fingerprint,palm,iris,palm vein and finger vein and other biometrics have been *** of the challenges in biometrics is physical *** of finger vein is of the biometrics least exposed to physical *** methods have been proposed for authentication with the help of this biometric that suffer from weaknesses such as high computational complexity and low identification *** paper presents a novel method of scattering wavelet-based identity *** wavelet extracts image features from gabor wavelet filters in a structure similar to convolutional neural *** distinguishes this algorithm from other popular feature extraction methods such as deep learning methods,filter-based methods,statistical methods,etc.,is that this algorithm has very high skill and accuracy in differentiating similar images but belongs to different classes,even when the image is subject to serious damage such as noise,angle changes or pixel location,this descriptor still generates feature vectors in away thatminimizes classifier *** improves classification and *** proposed method has been evaluated using two databases Finger Vein USM(FV-USM)and Homologous Multimodal biometrics Traits(SDUMLA-HMT).In addition to having reasonable computational complexity,it has recorded excellent identification rates in noise,rotation,and transmission *** best,it has a 98.2%identification rate for the SDUMLA-HMT database and a 96.1%identification rate for the FV-USM database.

关键词： Biometrics finger veins wavelet scattering vein authentication disaster risk reduction

Competitive Swarm Optimization with Encryption Based Steganography for Digital Image Security

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Computers, Materials & Continua 2022年第8期72卷 4173-4184页

作者： Ala’A.Eshmawi suliman A.Alsuhibany Sayed Abdel-Khalek Romany F.Mansour Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Mathematics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Digital image security is a fundamental and tedious process on shared communication *** methods have been employed for accomplishing security on digital image transmission,such as encryption,steganography,and *** stenography and encryption are commonly used models to achieve improved ***,optimal pixel selection process(OPSP)acts as a vital role in the encryption *** this motivation,this study designs a new competitive swarmoptimization with encryption based stenographic technique for digital image security,named CSOES-DIS *** proposed CSOES-DIS model aims to encrypt the secret image prior to the embedding *** addition,the CSOES-DIS model applies a double chaotic digital image encryption(DCDIE)technique to encrypt the secret image,and then embedding method was ***,the OPSP can be carried out by the design of CSO algorithm and thereby increases the secrecy *** order to portray the enhanced outcomes of the CSOES-DIS model,a comparative examination with recent methods is performed and the results reported the betterment of the CSOES-DIS model based on different measures.

关键词： Image security optimal pixel selection encryption metaheuristics image steganography