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An Optimized Approach to Vehicle-Type Classification Using a Convolutional Neural Network

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Computers, Materials & Continua 2021年第12期69卷 3321-3335页

作者： shabana Habib Noreen Fayyaz khan Department of information Technology College of ComputerQassim UniversityBuraidah51452Saudi Arabia Department of Computer Science Islamia College UniversityPeshawarPakistan

There are numerous application areas of computing similarity between process *** includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process *** similarity between two process models is computed based on their similarity between labels,structures,and execution *** attempts have been made to develop similarity techniques between activity labels,as well as their execution ***,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between ***,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural *** that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the ***,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label ***,we have evaluated the proposed approach using our generated collection of process models.

关键词： Machine learning intelligent data management similarities of process models structural metrics dataset graph edit distance process matching artificial intelligence

Fuzzy User Access Trust Model for Cloud Access Control

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Computer Systems Science & Engineering 2023年第1期44卷 113-128页

作者： Aakib Jawed khan shabana Mehfuz Department of Electrical Engineering Jamia Millia IslamiaNew Delhi110025India

Cloud computing belongs to a set of policies,protocols,technologies through which one can access shared resources such as storage,applications,net-works,and services at relatively low *** the tremendous advantages of cloud computing,one big threat which must be taken care of is data security in the *** are a dozen of threats that we are being exposed to while avail-ing cloud *** identity and access management,insecure inter-faces and Applications interfaces(APis),hijacking,advanced persistent threats,data threats,and many more are certain security issues with the cloud *** and service providers face a huge challenge to ensure the security and integ-rity of both network and *** overcome these challenges access control mechanisms are *** access control mechanisms fail to monitor the user operations on the cloud platform and are prone to attacks like iP spoofing and other attacks that impact the integrity of the *** ensuring data integrity on cloud platforms,access control mechanisms should go beyond authentication,identification,and ***,in this work,a trust-based access control mechanism is proposed that analyzes the data of the user behavior,network beha-vior,demand behavior,and security behavior for computing trust value before granting user *** method that computes thefinal trust value makes use of the fuzzy logic *** trust value-based policies are defined for the access control mechanism and based on the trust value outcome the access control is granted or denied.

关键词： Cloud architecture fuzzy logic trust-based access mechanism

Learning Patterns from COViD-19 instances

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Computer Systems Science & Engineering 2022年第2期40卷 765-777页

作者： Rehan Ullah khan Waleed Albattah Suliman Aladhadh shabana Habib Department of information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia

Coronavirus disease,which resulted from the SARS-CoV-2 virus,has spread worldwide since early 2020 and has been declared a pandemic by the World Health Organization(WHO).Coronavirus disease is also termed *** affects the human respiratory system and thus can be traced and tracked from the Chest X-Ray ***,Chest X-Ray alone may play a vital role in identifying COViD-19 *** this paper,we propose a Machine Learning(ML)approach that utilizes the X-Ray images to classify the healthy and affected patients based on the patterns found in these *** article also explores traditional,and Deep Learning(DL)approaches for COViD-19 patterns from Chest X-Ray images to predict,analyze,and further understand this *** experimental evaluation of the proposed approach achieves 97.5% detection performance using the DL model for COViD-19 versus normal *** contrast,for COViD-19 versus Pneumonia Virus scenario,we achieve 94.5% accurate *** extensive evaluation in the experimental section guides and helps in the selection of an appropriate model for similar ***,the approach can be used for medical usages and is particularly pertinent in detecting COViD-19 positive patients using X-Ray images alone.

关键词： Coronavirus COViD-19 machine learning deep learning convolutional neural network

X-ray image-Based COViD-19 Patient Detection Using Machine Learning-Based Techniques

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Computer Systems Science & Engineering 2022年第11期43卷 671-682页

作者： shabana Habib Saleh Alyahya Aizaz Ahmed Muhammad islam Sheroz khan ishrat khan Muhammad Kamil Department of information Technology College of ComputerQassim UniversityBuraidah52571Saudi Arabia Department of Electrical Engineering College of Engineering&Information TechnologyOnaizah CollegesOnaizah51911Saudi Arabia Digital image Processing Lab Islamia CollegePeshawar25120KPKPakistan Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesPeshawarPakistan

in early December 2019,the city of Wuhan,China,reported an outbreak of coronavirus disease(COViD-19),caused by a novel severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).On January 30,2020,the World Health Organization(WHO)declared the outbreak a global pandemic *** the face of the COViD-19 pandemic,the most important step has been the effective diagnosis and monitoring of infected *** COViD-19 using Machine Learning(ML)technologies can help the health care unit through assistive diagnostic suggestions,which can reduce the health unit's burden to a certain *** paper investigates the possibilities of ML techniques in identifying/detecting COViD-19 patients including both conventional and exploring from chest X-ray images the effect of viral *** approach includes preprocessing,feature extraction,and ***,the features are extracted using the Histogram of Oriented(HOG)and Local Binary Pattern(LBP)feature ***,for the extracted features classification,six ML models of Support Vector Machine(SVM)and K-Nearest Neighbor(KNN)is *** results show that the diagnostic accuracy of random forest classifier(RFC)on extracted HOG plusLBP features is as high as 94%followed by SVM at 93%.The sensitivity of the K-nearest neighbour model has reached an accuracy of 88%.Overall,the predicted approach has shown higher classification accuracy and effective diagnostic *** is a highly useful tool for clinical practitioners and radiologists to help them in diagnosing and tracking the cases of COViD-19.

关键词： image pre-processing detection classification x-ray images filter

Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COViD-19 Pandemic

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Computers, Materials & Continua 2022年第6期71卷 5581-5601页

作者： Durr-e-Nayab Ali Mustafa Qamar Rehan Ullah khan Waleed Albattah Khalil khan shabana Habib Muhammad islam Department of Computer Systems Engineering University of Engineering and TechnologyPeshawarPakistan Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of information Technology and Computer Science Pak-Austria FachhochschuleInstitute of Applied Sciences and TechnologyHaripurPakistan Department of Electrical Engineering College of Engineering and Information TechnologyOnaizah CollegesAl-QassimSaudi Arabia

The advent of the COViD-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related *** surveillance and crowd management using video analysis techniques have significantly impacted today’s research,and numerous applications have been developed in this *** research proposed an anomaly detection technique applied to Umrah videos in Kaaba during the COViD-19 pandemic through sparse crowd *** theKaaba rituals is crucial since the crowd gathers from around the world and requires proper analysis during these days of the *** Umrah videos are analyzed,and a system is devised that can track and monitor the crowd flow in *** crowd in these videos is sparse due to the pandemic,and we have developed a technique to track the maximum crowd flow and detect any object(person)moving in the direction unlikely of the major *** have detected abnormal movement by creating the histograms for the vertical and horizontal flows and applying thresholds to identify the non-majority *** algorithm aims to analyze the crowd through video surveillance and timely detect any abnormal activity tomaintain a smooth crowd flowinKaaba during the pandemic.

关键词： Computer vision COViD sparse crowd crowd analysis flow analysis sparse crowd management tawaaf video analysis video processing

Non-covalent interaction of atomically dispersed dual-site catalysts featuring Co and Ni nascent pair sites for efficient electrocatalytic overall water splitting

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Journal of Materials Science & Technology 2024年第11期178卷 210-225页

作者： imran khan Yaogang Chen Zhiyang Li Wenjie Liu Salman khan Sami Ullah Linlin Liu Amir Zada Sharafat Ali shabana Shaheen Lei Yang State Key Laboratory of Urban Water Resource and Environment Shenzhen Key Laboratory of Organic Pollution Prevention and ControlSchool of Civil and Environmental EngineeringHarbin Institute of Technology ShenzhenShenzhen 518055China School of Physics and Electronics Central South UniversityChangsha 410083China CNAS Accredited Test Center Guangdong Engineering Technology Research Center of Air PurificationHealthlead Co.Ltd.Shenzhen 518055China Key laboratory of Functional inorganic Material Chemistry Ministry of Education of the People's Republic of ChinaHeilongjiang UniversityHarbin 150080China K.A.CARE Energy Research&innovation Center(ERiC) King Fahd University of Petroleum&Minerals(KFUPM)Dhahran 31261Saudi Arabia Department of Chemistry Abdul Wali Khan UniversityMardanKhyber Pakhtunkhwa 23200Pakistan School of Physics University of Electronic Science and Technology of ChinaChengdu 610054China

The scarcity of highly effective and economical catalysts is a major impediment to the widespread adop-tion of electrochemical water splitting for the generation of ***_(2),a low-cost candidate,suffers from inefficient catalytic ***,a captivating strategy has emerged,which involves the en-gineering of heteroatom doping to enhance electrochemical *** investigation demonstrates a successful implementation of the strategy by combining ultrathin MoS_(2) nanosheets with Co and Ni dual single multi-atoms(DSMAs)grown directly on 2D N-doped carbon nanosheets(CoNi-MoS_(2)/NCNs)for the purpose of improving hydrogen evolution reaction(HER)and oxygen evolution reaction(OER).With the aid of a dual-atom doped bifunctional electrocatalyst,effective water splitting has been achieved across a broad pH range in *** double doping of Co and Ni strengthens their interactions,thereby altering the electromagnetic composition of the host MoS_(2) and ultimately leading to improved electrocat-alytic ***,the synergistic effect between NCNs and MoS_(2) nanosheets provided efficient electron transport channels for ions and an ample surface area with open voids for ion ***-sequently,the CoNi-MoS_(2)/NCNs catalysts demonstrated exceptional stability and activity,producing low degree overpotentials of 180.5,124.9,and 196.4 mV for HER and 200,203,and 207 mV for OER in neu-tral,alkaline,and acidic mediums,respectively,while also exhibiting outstanding overall water-splitting performance,durability,and stability when used as an electrolyzer at universal pH.

关键词： Multifunctional catalyst Water splitting Functionalized carbon nanosheets interface engineering pH-universal electrocatalysis

Computation of Stiffness and Damping Derivatives of an Ogive in a Limiting Case of Mach Number and Specific Heat Ratio

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Fluid Dynamics & Materials Processing 2023年第5期19卷 1249-1267页

作者： Aysha shabana Asha Crasta Sher Afghan khan Abdul Aabid Muneer Baig Department of Mathematics Mangalore Institute of Technology and EngineeringMoodabidri574225India Department of Mathematics Sahyadri College of Engineering&ManagementMangalore575007India Department of Mechanical and Aerospace Engineering Faculty of EngineeringInternational Islamic UniversityKuala Lumpur53100Malaysia Department of Engineering Management College of EngineeringPrince Sultan UniversityRiyadh11586Saudi Arabia

This work aims to compute stability derivatives in the Newtonian limit in pitch when the Mach number tends to *** such conditions,these stability derivatives depend on the Ogive’s shape and not the Mach ***,the Mach number independence principle becomes effective from M=10 and *** Ogive nose is obtained through a circular arc on the cone ***,the following arc slopes are consideredλ=5,10,15,−5,−10,and−*** is found that the stability derivatives decrease due to the growth inλfrom 5 to 15 and vice ***λ=5 and 10,the damping derivative declines with an increase inλfrom 5 to ***,for the damping derivatives,the minimum location remains at a pivot position,h=0.75 for large values ofλ.Hence,whenλ=−15,the damping derivatives are independent of the cone angles for most pivot positions except in the early twenty percent of the leading edge.

关键词： Aerodynamic stability derivative Mach number specific heat ratio Ogive

Diagnosis of Autism Spectrum Disorder by imperialistic Competitive Algorithm and Logistic Regression Classifier

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Computers, Materials & Continua 2023年第11期77卷 1515-1534页

作者： shabana R.Ziyad Liyakathunisa Eman Aljohani i.A.Saeed Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl Kharj16274Saudi Arabia Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinah41411Saudi Arabia Department of information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl Kharj16274Saudi Arabia

Autism spectrum disorder(ASD),classified as a developmental disability,is now more common in children than ever.A drastic increase in the rate of autism spectrum disorder in children worldwide demands early detection of autism in *** can seek professional help for a better prognosis of the child’s therapy when ASD is diagnosed under five *** research study aims to develop an automated tool for diagnosing autism in *** computer-aided diagnosis tool for ASD detection is designed and developed by a novel methodology that includes data acquisition,feature selection,and classification *** most deterministic features are selected from the self-acquired dataset by novel feature selection methods before *** imperialistic competitive algorithm(iCA)based on empires conquering colonies performs feature selection in this *** performance of Logistic Regression(LR),Decision tree,K-Nearest Neighbor(KNN),and Random Forest(RF)classifiers are experimentally studied in this research *** experimental results prove that the Logistic regression classifier exhibits the highest accuracy for the self-acquired *** ASD detection is evaluated experimentally with the Least Absolute Shrinkage and Selection Operator(LASSO)feature selection method and different *** Exploratory Data Analysis(EDA)phase has uncovered crucial facts about the data,like the correlation of the features in the dataset with the class variable.

关键词： Autism spectrum disorder feature selection imperialist competitive algorithm LASSO logistic regression random forest

Hajj Crowd Management Using CNN-Based Approach

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Computers, Materials & Continua 2021年第2期66卷 2183-2197页

作者： Waleed Albattah Muhammad Haris Kaka Khel shabana Habib Muhammad islam Sheroz khan Kushsairy Abdul Kadir Department of information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Electronic Section Universiti Kuala Lumpur British Malaysian InstituteMalaysia Department of Electrical Engineering Onaizah CollegesSaudi Arabia Department of Electrical and Computer Engineering International Islamic UniversityMalaysia

Hajj as the Muslim holy pilgrimage,attracts millions of humans to Mecca every *** to statists,the pilgrimage has attracted close to 2.5 million pilgrims in 2019,and at its peak,it has attracted over 3 million pilgrims in *** is considered as the world’s largest human *** makes one of the main concerns with regards to managing the large crowds and ensuring that stampedes and other similar overcrowding accidents are *** paper presents a crowd management system using image classification and an alarm system for managing the millions of crowds during *** image classification system greatly relies on the appropriate dataset used to train the Convolutional neural network(CNN),which is the deep learning technique that has recently attracted the interest of the research community and industry in varying applications of image classification and speech *** core building block of CNN is is a convolutional layer obtained by the getting CNN trained with patches bearing designated features of the trainee *** algorithm is implemented,using the Conv2D layers to activate the CNN as a sequential ***,creating a 2D convolution layer having 64 filters and drop out of 0.5 makes the core of a CNN referred to as a set of *** aim is to train the CNN model with mapped image data,and to make it available for use in classifying the crowd as heavily-crowded,crowded,semi-crowded,light crowded,and *** utility of these results lies in producing appropriate signals for proving helpful in monitoring the *** pilgrims from the photos will help the authorities to determine the number of people in certain *** results demonstrate the utility of agent-based modeling for Hajj pilgrims.

关键词： Crowd management CNN approach Hajj