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A Fault-Handling method for the Hamiltonian Cycle in the Hypercube Topology

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Computers, materials & Continua 2021年第7期68卷 505-519页

作者： Adnan A.Hnaif Abdelfatah A.Tamimi Ayman m.abdalla Iqbal Jebril Faculty of Science and Information Technology Al-Zaytoonah University of JordanAmman11733Jordan

many routing protocols,such as distance vector and link-state protocols are used for nding the best paths in a *** nd the path between the source and destination nodes where every node is visited once with no repeats,Hamiltonian and Hypercube routing protocols are often ***,these algorithms are not designed to solve the problem of a node failure,where one or more nodes become *** paper proposes an efcient modied Fault-free Hamiltonian Cycle based on the Hypercube Topology(FHCHT)to perform a connection between nodes when one or more nodes become *** can be applied in a different environment to transmit data with a high-reliability connection by nding an alternative path between the source and destination nodes when some nodes ***,a proposed Hamiltonian Near Cycle(HNC)scheme has been developed and *** implementation results indicated that FHCHT produces alternative cycles relatively similar to a Hamiltonian Cycle for the Hypercube,complete,and random *** implementation of the proposed algorithm in a Hypercube achieved a 31%and 76%reduction in cost compared to the complete and random graphs,respectively.

关键词： Hamiltonian cycle hypercube fault tolerance routing protocols WSN IoT

Automatic Segmentation and Detection System for Varicocele Using Ultrasound Images

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Computers, materials & Continua 2022年第7期72卷 797-814页

作者： Ayman m.abdalla mohammad Abu Awad Omar AlZoubi La’aly A.Al-Samrraie Department of Computer Science Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science Jordan University of Science and TechnologyIrbid22110Jordan Department of Water and Environmental Engineering Al-Huson University CollegeAl-Balqa Applied UniversityIrbidJordan

The enlarged veins in the pampiniform venous plexus,known as varicocele disease,are typically identified using ultrasound *** diagnosis of varicocele is based on examinations made in three positions taken to the right and left testicles of the male *** proposed system is designed to determine whether a patient is *** is more frequent on the left side of the scrotum than on the right and physicians commonly depend on the supine position more than other ***,the experimental results of this study focused on images taken in the supine position of the left testicles of *** are two possible vein structures in each image:a cross-section(circular)and a tube(non-circular)*** proposed system identifies dilated(varicocele)veins of these structures in ultrasound images in three stages:preprocessing,processing,and detection and *** three stages are applied in three different color modes:Grayscale,Red-Green-Blue(RGB),and Hue,Saturation,and Value(HSV).In the preprocessing stage,the region of interest enclosing the pampiniform plexus area is extracted using a median filter and threshold ***,the processing stage employs different filters to perform image ***,edge detection is applied in multiple steps and the detected veins are measured to determine if dilated veins *** implementation results showed the proposed system is faster andmore effective than the previous work.

关键词： Varicocele color mode HSV median filter segmentation canny

Unconstrained Hand Dorsal Veins Image Database and Recognition System

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Computers, materials & Continua 2022年第12期73卷 5063-5073页

作者： mustafa m.Al Rifaee mohammad m.abdallah mosa I.Salah Ayman m.abdalla Faculty of Science and Information Technology Al-Zaytoonah University of JordanAmman11733Jordan Faculty of Architecture and Design Al-Zaytoonah University of JordanAmman11733Jordan

Hand veins can be used effectively in biometric recognition since they are internal organs that,in contrast to fingerprints,are robust under external environment effects such as dirt and paper ***,they form a complex rich shape that is unique,even in identical twins,and allows a high degree of ***,most currently employed hand-based biometric systems rely on hand-touch devices to capture images with the desired *** the start of the COVID-19 pandemic,most handbased biometric systems have become undesirable due to their possible impact on the spread of the ***,new contactless hand-based biometric recognition systems and databases are desired to keep up with the rising hygiene *** contribution of this research is the creation of a database for hand dorsal veins images obtained contact-free with a variation in capturing distance and rotation *** database consists of 1548 images collected from 86 participants whose ages ranged from 19 to 84 *** the other research contribution,a novel geometrical feature extraction method has been developed based on the Curvelet *** method is useful for extracting robust rotation invariance features from vein *** database attributes and the veins recognition results are analyzed to demonstrate their efficacy.

关键词： Biometric recognition contactless hand biometrics veins recognition Curvelet transform image segmentation feature extraction

Repeated Attribute Optimization for Big Data Encryption

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Computer Systems Science & Engineering 2022年第1期40卷 53-64页

作者： abdalla Alameen Department of Computer Science College of Arts and SciencesPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia

Big data denotes the variety,velocity,and massive volume of *** databases are unsuitable to store big data owing to its high *** computing is an optimal solution to process and store big ***,the significant issue lies in handling access control and privacy,wherein the data should be encrypted and unauthorized user access must be restricted through efficient access ***-based encryption(ABE)permits users to encrypt and decrypt ***,for the policy to work in practical scenarios,the attributes must be *** the case of specific policies,it is not possible to avoid attribute repetition even after the application of Boolean optimization approaches to obtain a Boolean *** these policies,there exists a variety of evaluated secret shares for the repeated ***,the calculation of cipher text for these irreducible policies seems to be lengthy and computationally *** address this problem,an improved meta-heuristic-based repeated attributes optimization on cipher-text policy-ABE(CP-ABE)is developed in this ***,the improved meta-heuristic concept is developed in the encryption phase,which returns the optimized single share value of each repeated attribute after considering all the attribute *** optimization process not only minimizes the encryption cost but also the communication ***,the improved sun flower optimization(SFO),called the newly updated SFO(NU-SFO)is used to perform the repeated attribute optimization in ***,the performance evaluation confirms the reliability and robustness of the developed scheme through comparisons with traditional constructions.

关键词： Bigdata repeatedattributeoptimization ciphertextpolicy encryption

Smart Lung Tumor Prediction Using Dual Graph Convolutional Neural Network

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Intelligent Automation & Soft Computing 2023年第4期36卷 369-383页

作者： abdalla Alameen Department of Computer Science College of Arts and SciencesPrince Sattam Bin Abdulaziz UniversityKSA

A signiﬁcant advantage of medical image processing is that it allows non-invasive exploration of internal anatomy in great *** is possible to create and study 3D models of anatomical structures to improve treatment outcomes,develop more effective medical devices,or arrive at a more accurate *** paper aims to present a fused evolutionary algorithm that takes advantage of both whale optimization and bacterial foraging optimization to optimize feature *** classiﬁcation process was conducted with the aid of a convolu-tional neural network(CNN)with dual *** of the performance of the fused model is carried out with various *** the initial input Com-puter Tomography(CT)image,150 images are pre-processed and segmented to identify cancerous and non-cancerous *** geometrical,statistical,struc-tural,and texture features are extracted from the preprocessed segmented image using various methods such as Gray-level co-occurrence matrix(GLCm),Histo-gram-oriented gradient features(HOG),and Gray-level dependence matrix(GLDm).To select the optimal features,a novel fusion approach known as Whale-Bacterial Foraging Optimization is *** the classiﬁcation of lung cancer,dual graph convolutional neural networks have been employed.A com-parison of classiﬁcation algorithms and optimization algorithms has been *** to the evaluated results,the proposed fused algorithm is successful with an accuracy of 98.72%in predicting lung tumors,and it outper-forms other conventional approaches.

关键词： CNN dual graph convolutional neural network GLCm GLDm HOG image processing lung tumor prediction whale bacterial foraging optimization

Construction of Customized Bio Incubator and Designing of Tailored Scaffolds for Bone Tissue Engineering from Laboratory Scale Up to Clinical Scale

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Journal of Renewable materials 2022年第11期10卷 2699-2716页

作者： Soliman abdalla Shiref Kandil Department of Physics Faculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Department of materials Science Institute of Graduate Studies and ResearchAlexandria UniversityAlexandriaEgypt

In order to obtain larger,clinical-scale and practical-scale bone grafts,we have designed both tailored scaffolds and tailored bio incubator with optimal bio-production *** DIC files to Simpleware Scan-IP(Simple-ware-exeter United Kingdom),we have digitally reconstructed segmental additive bone-tissue in order to perform images *** hydroxyapatite and tannin composites have been used in order to get the final bone modules combined for retexturing of segmental bone *** have found that sectioning of bone segment deficiency reorganizations into well disk-shaped design permits one to standardize the cell culture and seeding protocol,to get better *** present study concludes that some techniques with cultured cell in segmental bone grafts in the laboratory can be transferred and clinically used.

关键词： Repairing segmental bone customized scaffolds stem cells designing bio incubator bone engineering

University Learning and Anti-Plagiarism Back-End Services

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Computers, materials & Continua 2021年第2期66卷 1215-1226页

作者： manjur Kolhar abdalla Alameen Prince Sattam Bin Abdulaziz University Wadi Ad Dawaser11990Saudi Arabia

Plagiarism refers to the use of other people’s ideas and information without acknowledging the *** this research,anti-plagiarism software was designed especially for the university and its campuses to identify plagiarized text in students’written assignments and laboratory *** proposed framework collected original documents to identify plagiarized text using natural language *** research proposes a method to detect plagiarism by applying the core concept of text,which is semantic associations of words and their syntactic *** on the browser was obtained through Request application programming interface by name ***,and it is stored in a centralized microsoft database Server.A total of 55,001 data samples were collected from 2015 to ***,we assimilated data from a university website,specifically from the *** network,and arranged the data into students’***,we extracted words from source documents and student documents using the WordNet *** a benchmark dataset consisting of 785 plagiarized text and 4,716 original text data,a significant accuracy of 90.2%was ***,the proposed framework demonstrated better performance than the other available *** students mentioned that working on assignments using the framework was suitable because they were able to work on the assignments in harmony,as per their timeframe and from different network *** framework also recommends procedures that can be used to avoid plagiarism.

关键词： NLP information science text data semantic syntactic analysis

Functionality Aware Dynamic Composition of Web Services

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Computer Systems Science & Engineering 2021年第1期36卷 201-211页

作者： mohemmed Sha abdalla Alameen Department of Computer Science College of Arts and SciencePrince Sattam bin Abdulaziz UniversityWadi Al dawaser11991Saudi Arabia

The composition of the web service is a common technique to attain the best results of complex web *** selection of appropriate web services,linking those services in the action flow and attaining the actual functionality of the task are the important factors to be *** though different frameworks and methods have been proposed to dynamically compose web services,each method has its advantage and disadvantage over the *** of the methods give much importance to the Quality of Service(QoS)but fail to achieve the actual functionality after *** paper proposes a functionalityoriented composition technique for composing web ***,this method helps reach the extreme functionality of each web service in the composition towards customer *** from considering the overall QoS of every single service,the non-functional parameters associated with these services are also considered for achieving the expected *** of these nonfunctional parameters has a vital role in the functional performance of the web *** web services that satisfy the non-functional requirements are chosen to form the composition to attain the best *** list of services in the proposed composition method is different from the conventional one,which is composed based on the overall *** non-functional parametric values,the QoS of each web service and the overall QoS after composition are evaluated for the proposed method and experimentally analyzed to prove their advantage over the others.

关键词： Web service service composition quality of service dynamic composition

Revolutionizing diabetic retinopathy screening and management:The role of artificial intelligence and machine learning

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World Journal of Clinical Cases 2025年第5期13卷 1-12页

作者： mona mohamed Ibrahim.abdalla Jaiprakash mohanraj Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and *** editorial explores the transformative potential of artificial intelligence(AI)and machine learning(mL)in revolutionizing DR *** and mL technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early *** technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed ***,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment *** automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient *** review aims to evaluate the current advancements and applic-ations of AI and mL in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of *** integration of AI and mL in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.

关键词： Diabetic retinopathy Artificial intelligence machine learning Screening management Predictive analytics Personalized medicine