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Topological Evaluation of Certain Computer Networks by Contraharmonic-Quadratic Indices

Computers, Materials & Continua 2023年第2期74卷 3795-3810页

作者： Ahmed M.Alghamdi Khalid Hamid Muhammad Waseem Iqbal M.Usman Ashraf Abdullah Alshahrani Adel Alshamrani Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Computer Science Superior UniversityLahore54000Pakistan Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science GC Women UniversitySialkot53310Pakistan Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Cybersecurity College of Computer Science and Engineering at University of JeddahJeddah21493Saudi Arabia

In various fields,different networks are used,most of the time not of a single kind;but rather a mix of at least two *** kinds of networks are called bridge networks which are utilized in interconnection networks of PC,portable networks,spine of internet,networks engaged with advanced mechanics,power generation interconnection,bio-informatics and substance intensify *** number that can be entirely calculated by a graph is called graph *** mathematical graph invariants have been portrayed and utilized for connection investigation during the latest twenty ***,no trustworthy evaluation has been embraced to pick,how much these invariants are associated with a network graph or subatomic *** this paper,it will discuss three unmistakable varieties of bridge networks with an incredible capacity of assumption in the field of computer science,chemistry,physics,drug industry,informatics and arithmetic in setting with physical and manufactured developments and networks,since Contraharmonic-quadratic invariants(CQIs)are recently presented and have different figure qualities for different varieties of bridge graphs or *** study settled the geography of bridge graphs/networks of three novel sorts with two kinds of CQI and Quadratic-Contraharmonic Indices(QCIs).The deduced results can be used for the modeling of the above-mentioned networks.

关键词： Bridge networks invariants Quadratic-Contraharmonic Indices maple network graph molecular graph

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Grey Wolf-Based Method for an Implicit Authentication of Smartphone Users

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Computers, Materials & Continua 2023年第5期75卷 3729-3741页

作者： Abdulwahab Ali Almazroi Mohamed Meselhy Eltoukhy University of jeddah College of Computing and Information Technology at KhulaisDepartment of Information TechnologyJeddahSaudi Arabia

Smartphones have now become an integral part of our everyday *** authentication on smartphones is often accomplished by mechanisms(like face unlock,pattern,or pin password)that authenticate the user’s *** technologies are simple,inexpensive,and fast for repeated ***,these technologies are still subject to assaults like smudge assaults and shoulder ***’touch behavior while using their cell phones might be used to authenticate them,which would solve the *** performance of the authentication process may be influenced by the attributes chosen(from these behaviors).The purpose of this study is to present an effective authentication technique that implicitly offers a better authentication method for smartphone usage while avoiding the cost of a particular device and considering the constrained capabilities of *** began by concentrating on feature selection methods utilizing the grey wolf optimization *** random forest classifier is used to evaluate these *** testing findings demonstrated that the grey wolf-based methodology works as a better optimum feature selection for building an implicit authentication mechanism for the smartphone environment when using a public *** achieved a 97.89%accuracy rate while utilizing just 16 of the 53 characteristics like utilizing minimum mobile resources mainly;processing power of the device and memory to validate ***,the findings revealed that our approach has a lower equal error rate(EER)of 0.5104,a false acceptance rate(FAR)of 1.00,and a false rejection rate(FRR)of 0.0209 compared to the methods discussed in the *** promising results will be used to create a mobile application that enables implicit validation of authorized users yet avoids current identification concerns and requires fewer mobile resources.

关键词： Smartphone authentication implicit authentication grey wolf random forest feature selection

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A Proposed Feature Selection Particle Swarm Optimization Adaptation for Intelligent Logistics--A Supply Chain Backlog Elimination Framework

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Computers, Materials & Continua 2024年第6期79卷 4081-4105页

作者： Yasser Hachaichi Ayman E.Khedr Amira M.Idrees College of Computing and Information Technology at Khulais Department of Information SystemsUniversity of JeddahJeddah21959Saudi Arabia Faculty of Computers and Information Technology Future University in EgyptCairo11835Egypt

The diversity of data sources resulted in seeking effective manipulation and *** challenge that arises from the increasing dimensionality has a negative effect on the computation performance,efficiency,and stability of *** of the most successful optimization algorithms is Particle Swarm Optimization(PSO)which has proved its effectiveness in exploring the highest influencing features in the search space based on its fast convergence and the ability to utilize a small set of parameters in the search *** research proposes an effective enhancement of PSO that tackles the challenge of randomness search which directly enhances PSO *** the other hand,this research proposes a generic intelligent framework for early prediction of orders delay and eliminate orders backlogs which could be considered as an efficient potential solution for raising the supply chain *** proposed adapted algorithm has been applied to a supply chain dataset which minimized the features set from twenty-one features to ten significant *** confirm the proposed algorithm results,the updated data has been examined by eight of the well-known classification algorithms which reached a minimum accuracy percentage equal to 94.3%for random forest and a maximum of 99.0 for Naïve ***,the proposed algorithm adaptation has been compared with other proposed adaptations of PSO from the literature over different *** proposed PSO adaptation reached a higher accuracy compared with the literature ranging from 97.8 to 99.36 which also proved the advancement of the current research.

关键词： Optimization particle swarm optimization algorithm feature selection logistics supply chain management backlogs

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Hybrid Algorithm-Driven Smart Logistics Optimization in IoT-Based Cyber-Physical Systems

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Computers, Materials & Continua 2023年第12期77卷 3921-3942页

作者： Abdulwahab Ali Almazroi Nasir Ayub College of Computing and Information Technology at Khulais Department of Information TechnologyUniversity of JeddahJeddah21959Saudi Arabia Department of Creative Technologies Air University IslamabadIslamabad44000Pakistan

Effectively managing complex logistics data is essential for development sustainability and growth,especially in optimizing distribution *** article addresses the limitations of current logistics path optimization methods,such as inefficiencies and high operational *** overcome these drawbacks,we introduce the Hybrid Firefly-Spotted Hyena Optimization(HFSHO)algorithm,a novel approach that combines the rapid exploration and global search abilities of the Firefly Algorithm(FO)with the localized search and region-exploitation skills of the Spotted Hyena Optimization Algorithm(SHO).HFSHO aims to improve logistics path optimization and reduce operational *** algorithm’s effectiveness is systematically assessed through rigorous comparative analyses with established algorithms like the Ant Colony Algorithm(ACO),Cuckoo Search Algorithm(CSA)and Jaya Algo-rithm(JA).The evaluation also employs benchmarking methodologies using standardized function sets covering diverse objective functions,including Schwefel’s,Rastrigin,Ackley,Sphere and the ZDT and DTLZ Function *** outperforms these algorithms,achieving a minimum path distance of 546 units,highlighting its prowess in logistics path *** comprehensive evaluation authenticates HFSHO’s exceptional performance across various logistic optimization *** findings emphasize the critical significance of selecting an appropriate algorithm for logistics path navigation,with HFSHO emerging as an efficient *** the synergistic use of FO and SHO,HFSHO achieves a 15%improvement in convergence,heightened operational efficiency and substantial cost reductions in logistics *** presents a promising solution for optimizing logistics paths,offering logistics planners and decision-makers valuable insights and contributing substantively to sustainable sectoral growth.

关键词： Hybrid optimization internet of things intelligent transport system optimal path finding smart logistics traffic congestion supply chain

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Covid-19’s Pandemic Relationship to Saudi Arabia’s Weather Using Statistical Analysis and GIS

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Computer Systems Science & Engineering 2022年第8期42卷 813-823页

作者： Ranya Fadlalla Elsheikh GIS Department Faculty of Social SciencesJeddah UniversityJeddahSaudi Arabia School of Survey Faculty of EngineeringSudan University of Science and TechnologyKhartoumSudan

The eruption of the novel Covid-19 has changed the socio-economic conditions of the *** escalating number of infections and deaths seriously threatened human health when it became a pandemic from an *** developed into an alarming situation when the World Health Organization(WHO)declared a health emergency in MARCH *** geographic settings and weather conditions are systematically linked to the spread of the *** concentration of population and weather attributes remains vital to study a pandemic such as *** current work aims to explore the relationship of the population,weather conditions(humidity and temperature)with the reported novel Covid-19 cases in the Kingdom of Saudi Arabia(KSA).For the study,the data for the reported Covid-19 cases was secured from 11 March 2020,to 21 July 2020(132 days)from the 13 provinces of *** Governorate level data was used to estimate the population data.A Geographic information system(GIS)analysis was utilised to visualise the *** results suggested that a significant correlation existed between the population and Covid-19 *** the weather conditions,the data for the 13 provinces of KSA for the same period was utilised to estimate the relationship between the weather conditions and Covid-19 ***’s rank correlation results confirmed that the humidity was significantly linked with the reported cases of Covid-19 in Makkah,Aseer,Najran,and Al Baha *** temperature had a significant relation with the reported Covid-19 cases in Al-Riyad,Makkah,Al-Madinah,Aseer,Najran,and *** inconsistency of the results highlighted the variant behavior of Covid-19 in different regions of the *** exploration is required beyond the weather-related *** for future research and policy direction are offered at the end of the study.

关键词： Covid-19 GIS temperature spearman correlation humidity Saudi Arabia

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Human Faces Detection and Tracking for Crowd Management in Hajj and Umrah

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Computers, Materials & Continua 2022年第6期71卷 6275-6291页

作者： Riad Alharbey Ameen Banjar Yahia Said Mohamed Atri Abdulrahman Alshdadi Mohamed Abid Department of Information Systems and Technology College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Electrical Engineering Department College of EngineeringNorthern Border UniversityArarSaudi Arabia Laboratory of Electronics and Microelectronics(LR99ES30) Faculty of Sciences of MonastirUniversity of MonastirTunisia College of Computer Sciences King Khalid UniversityAbhaSaudi Arabia CES Laboratory ENISUniversity of SfaxTunisia

Hajj and Umrah are two main religious duties for *** help faithfuls to perform their religious duties comfortably in overcrowded areas,a crowd management system is a must to control the entering and exiting for each *** the number of people is very high,an intelligent crowd management system can be developed to reduce human effort and accelerate the management *** this work,we propose a crowd management process based on detecting,tracking,and counting human faces using Artificial Intelligence *** detection and counting will be performed to calculate the number of existing visitors and face detection and tracking will be used to identify all the humans for security *** proposed crowd management system is composed form three main parts which are:(1)detecting human faces,(2)assigning each detected face with a numerical identifier,(3)storing the identity of each face in a database for further identification and *** main contribution of this work focuses on the detection and tracking model which is based on an improved object detection *** improved Yolo v4 was used for face detection and *** has been very effective in detecting small objects in highresolution *** novelty contained in thismethod was the integration of the adaptive attention mechanism to improve the performance of the model for the desired *** wise attention mechanism was applied to the output layers while both channel wise and spatial attention was integrated in the building *** main idea from the adaptive attention mechanisms is to make themodel focus more on the target and ignore false positive *** demonstrated the efficiency of the proposed method through expensive experimentation on a publicly available *** wider faces dataset was used for the train and the evaluation of the proposed detection and tracking *** proposed model has achieved good results with 91.2%of mAP and a processing speed

关键词： Crowdmanagement Hajj and Umrah face detection object tracking convolutional neural networks(CNN) adaptive attention mechanisms

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A Convolutional Neural Network Model for Wheat Crop Disease Prediction

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Computers, Materials & Continua 2023年第5期75卷 3867-3882页

作者： Mahmood Ashraf Mohammad Abrar Nauman Qadeer Abdulrahman A.Alshdadi Thabit Sabbah Muhammad Attique Khan Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21577Saudi Arabia Department of Computer Science Bacha Khan University CharsaddaKhyber Pakhtunkhwa24461Pakistan Department of Computer Science Federal Urdu University of ArtsScience&TechnologyIslamabad45570Pakistan Department of Information Systems and Technology College of Computer Science and EngineeringUniversity of JeddahJeddah21577Saudi Arabia Faculty of Technology and Applied Sciences Al-Quds Open UniversityAl-Bireh1804Palestine Department of Computer Science HITEC UniversityTaxila47080Pakistan

Wheat is the most important cereal crop,and its low production incurs import pressure on the *** fulfills a significant portion of the daily energy requirements of the human *** wheat disease is one of the major factors that result in low production and negatively affects the national ***,timely detection of wheat diseases is necessary for improving *** CNN-based architectures showed tremendous achievement in the image-based classification and prediction of crop ***,these models are computationally expensive and need a large amount of training *** this research,a light weighted modified CNN architecture is proposed that uses eight layers particularly,three convolutional layers,three SoftMax layers,and two flattened layers,to detect wheat diseases *** high-resolution images were collected from the fields in Azad Kashmir(Pakistan)and manually annotated by three human *** convolutional layers use 16,32,and 64 *** filter uses a 3×3 kernel *** strides for all convolutional layers are set to *** this research,three different variants of datasets are *** variants S1-70%:15%:15%,S2-75%:15%:10%,and S3-80%:10%:10%(train:validation:test)are used to evaluate the performance of the proposed *** extensive experiments revealed that the S3 performed better than S1 and S2 datasets with 93%*** experiment also concludes that a more extensive training set with high-resolution images can detect wheat diseases more accurately.

关键词： Machine learning wheat crop disease prediction convolutional neural network artificial intelligence

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Unsteady Squeezing Flow of Jeffery Fluid between Two Parallel Disks

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Chinese Physics Letters 2012年第3期29卷 135-138页

作者： A.Qayyum M.Awais A.Alsaedi T.Hayat Department of Mathematics Quaid-I-Azam University 45320Islamabad 44000Pakistan Department of Mathematics Faculty of ScienceKing Abdulaziz UniversityP.O.Box 80257Jeddah 21589Saudi Arabia

We investigate an unsteady axisymmetric flow of a Jeffrey fluid between two parallel *** relevant partial differential equations are modeled and simplified by using appropriate *** resulting ordinary differential system is solved and a series solution is *** of various parameters of interest on the flow quantities are *** is found that the velocity profile increases when porosity and squeezing parameters are increased.

关键词： ordinary unsteady flow

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Alumina-coated Ag nanocrystal monolayers as surfaceenhanced Raman spectroscopy platforms for the direct spectroscopic detection of water splitting reaction intermediates

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Nano Research 2014年第1期7卷 132-143页

作者： Xing Yi Ling Ruoxue Yan Sylvia Lo Dat Tien Hoang Chong Liu Melissa A. Fardy Sher Bahadar Khan Abdullah M. Asiri Salem M. Bawaked Peidong Yang Department of Chemistry University of California Berkeley CA 94720-1460 USA Center of Excellence for Advanced Materials Research (CEAMR) King Abdulaziz University Jeddah 21589 P.O. Box 80203 Saudi Arabia Division of Chemistry and Biological Chemistry School of Physical and Mathematical Sciences Nanyang Technological University Singapore Department of Chemical and Environmental Engineering. University of California Riverside CA 9252 1 USA These authors contributed equally to this work.

A novel Ag-alumina hybrid surface-enhanced Raman spectroscopy （SERS） platform has been designed for the spectroscopic detection of surface reactions in the steady state. Single crystalline and faceted silver （Ag） nanoparticles with strong light scattering were prepared in large quantity, which enables their reproducible self-assembly into large scale monolayers of Raman sensor arrays by the Langrnuir-Blodgett technique. The close packed sensor film contains high density of sub-nm gaps between sharp edges of Ag nanoparticles, which created large local electromagnetic fields that serve as ＂hot spots＂ for SERS enhancement. The SERS substrate was then coated with a thin layer of alumina by atomic layer deposition to prevent charge transfer between Ag and the reaction system. The photocatalytic water splitting reaction on a monolayer of anatase TiO2 nanoplates decorated with Pt co-catalyst nanoparticles was employed as a model reaction system. Reaction intermediates of water photooxidation were observed at the TiO2/solution interface under UV irradiation. The surface-enhanced Raman vibrations corresponding to peroxo, hydroperoxo and hydroxo surface intermediate species were observed on the TiO2 surface, suggesting that the photo-oxidation of water on these anatase TiO2 nanosheets may be initiated by a nucleophilic attack mechanism.

关键词： surface-enhanced Ramanspectroscopy water splitting reaction reaction intermediates Ag nanocrystals

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Genetics of congenital and infantile nephrotic syndrome

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World Journal of Pediatrics 2019年第2期15卷 198-203页

作者： Sara Nawfal Sharief Nada Abdullatif Hefni Walaa Ali Alzahrani Iman Ibrahim Nazer Marwa Abdullah Bayazeed Khalid A.Alhasan Osama Y.Safdar Sherif M.El-Desoky Jameela Abdulaziz Kari King Abdulaziz University JeddahKingdom of Saudi Arabia College of Medicine Pediatric DepartmentKing Saud UniversityRiyadhKingdom of Saudi Arabia Department of Pediatrics Faculty of MedicinePediatric Nephrology Center of ExcellenceKing Abdulaziz UniversityPO Box 80215Jeddah 21589Kingdom of Saudi Arabia

Background Congenital and infantile nephrotic syndrome (CNS and INS) are rare inherited defects in glomerular filtration involving a variety of gene *** study aimed to analyze all genetic mutations associated with congenital and infantile nephrotic syndrome treated at our *** also discussed our different approach secondary to culture and *** A retrospective single-center study of all children diagnosed as NS before the age of l year over a duration of over one *** Twenty-nine children (12 boys) were included in the *** median age (range) was 2.4 (0.1-12) months (20 CNS and 9 INS).Consanguinity was present in 90% of *** genetic analysis' results were only available for 20 *** underlying causative homozygous mutation was detected in 18 children (90%):NPHS1 (9),NPHS2(2),LAMB2(3),PLCE1(1),WT1(1),and ITSN1 novel mutation (2).One child had heterozygous mutation of NPHS2 and another child had heterozygous mutation of NPHS1 which could not explain the *** CNS cases were all managed with intermittent intravenous albumin infusion,ACEi,diuretics,and *** of the children were managed by nephrectomy followed by peritoneal dialysis (PD) because of limited *** one child achieved partial remission,while 15 children died at a median (range) age of 5.8 (1.25-29) *** remaining 14 children were followed up for an average of 36 (3.9-120) *** children progressed to end-stage kidney disease and PD was performed in only two *** NPHS1 is the main underlying cause of CNS and INS in our study *** and INS were associated with high morbidity and mortality.

关键词： Congenital nephrotic Infantile nephrotic Genetics Outcome

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