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Hyperspectral anomaly detection:a performance comparison of existing techniques

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International Journal of Digital Earth 2022年第1期15卷 2078-2125页

作者： Noman raza Shah Abdur Rahman M.Maud Farrukh Aziz Bhatti Muhammad Khizer ali Khurram Khurshid Moazam Maqsood Muhammad Amin iVISION Lab Electrical Engineering DepartmentInstitute of Space TechnologyIslamabadPakistan AI Enabling Technologies Lab Center of Excellence in Artificial IntelligenceBahria UniversityIslamabadPakistan Department of Electrical and Computer Engineering Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyHaripurPakistan Avionics Engineering Department Institute of Space TechnologyIslamabadPakistan

Anomaly detection in Hyperspectral Imagery(HSI)has received considerable attention because of its potential application in several *** anomaly detection algorithms for HSI have been proposed in the literature;however,due to the use of different datasets in previous studies,an extensive performance comparison of these algorithms is *** this paper,an overview of the current state of research in hyperspectral anomaly detection is presented by broadly dividing all the previously proposed algorithms into eight different *** addition,this paper presents the most comprehensive comparative analysis to-date in hyperspectral anomaly detection by evaluating 22 algorithms on 17 different publicly available *** indicate that attribute and edge-preserving filtering-based detection(AED),local summation anomaly detection based on collaborative representation and inverse distance weight(LSAD-CR-IDW)and local summation unsupervised nearest regularized subspace with an outlier removal anomaly detector(LSUNRSORAD)perform better as indicated by the mean and median values of area under the receiver operating characteristic(ROC)***,this paper studies the effect of various dimensionality reduction techniques on anomaly *** indicate that reducing the number of components to around 20 improves the performance;however,any further decrease deteriorates the performance.

关键词： Anomaly detection algorithms hyperspectral imagery deep learning dimensionality reduction

Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method

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Computers, Materials & Continua 2022年第9期72卷 4249-4265页

作者： Muhammad Irfan ali raza Faisal Althobiani Nasir Ayub Muhammad Idrees Zain ali Kashif Rizwan Abdullah Saeed Alwadie Saleh Mohammed Ghonaim Hesham Abdushkour Saifur Rahman Omar Alshorman Samar Alqhtani Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadWah Campus22060Pakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Federal Urdu University of ArtsScience and TechnologyIslamabad44000Pakistan School of Electrical Engineering and Computer Science National University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science and Engineering University of Engineering and TechnologyNarowal CampusLahore54000Pakistan Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

In the Smart Grid(SG)residential environment,consumers change their power consumption routine according to the price and incentives announced by the utility,which causes the prices to deviate from the initial ***,electricity demand and price forecasting play a significant role and can help in terms of reliability and *** to the massive amount of data,big data analytics for forecasting becomes a hot topic in the SG *** this paper,the changing and non-linearity of consumer consumption pattern complex data is taken as *** minimize the computational cost and complexity of the data,the average of the feature engineering approaches includes:Recursive Feature Eliminator(RFE),Extreme Gradient Boosting(XGboost),Random Forest(RF),and are upgraded to extract the most relevant and significant *** this end,we have proposed the DensetNet-121 network and Support Vector Machine(SVM)ensemble with Aquila Optimizer(AO)to ensure adaptability and handle the complexity of data in the ***,the AO method helps to tune the parameters of DensNet(121 layers)and SVM,which achieves less training loss,computational time,minimized overfitting problems and more training/test *** evaluation metrics and statistical analysis validate the proposed model results are better than the benchmark *** proposed method has achieved a minimal value of the Mean Average Percentage Error(MAPE)rate i.e.,8%by DenseNet-AO and 6%by SVM-AO and the maximum accurateness rate of 92%and 95%,respectively.

关键词： Smart grid deep neural networks consumer demand big data analytics load forecasting price forecasting

Bio-Inspired Numerical Analysis of COVID-19 with Fuzzy Parameters

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Computers, Materials & Continua 2022年第8期72卷 3213-3229页

作者： F.M.Allehiany Fazal Dayan F.F.Al-Harbi Nesreen Althobaiti Nauman Ahmed Muhammad Rafiq ali raza Mawahib Elamin Department of Mathematical Sciences College of Applied SciencesUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Mathematics and Statistics University of LahoreLahorePakistan Department of Mathematics School of ScienceUniversity of Management and TechnologyLahorePakistan Department of Physics College of SciencePrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Mathematics and Statistics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahorePakistan Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Department of Mathematics College of Science and ArtsQassim UniversityRiyadh Al KhabraSaudi Arabia

Fuzziness or uncertainties arise due to insufficient knowledge,experimental errors,operating conditions and parameters that provide inaccurate *** concepts of susceptible,infectious and recovered are uncertain due to the different degrees in susceptibility,infectivity and recovery among the individuals of the *** differences can arise,when the population groups under the consideration having distinct habits,customs and different age groups have different degrees of resistance,*** realistic models are needed which consider these different degrees of susceptibility infectivity and recovery of the *** this paper,a Susceptible,Infected and Recovered(SIR)epidemic model with fuzzy parameters is *** infection,recovery and death rates due to the disease are considered as fuzzy *** basic reproduction number and fuzzy equilibrium points have been derived for the studied *** is then solved numerically with three different techniques,forward Euler,Runge-Kutta fourth order method(RK-4)and the nonstandard finite difference(NSFD)methods *** NSFD technique becomes more efficient and reliable among the others and preserves all the essential features of a continuous dynamical system.

关键词： Fuzzy parameters SIR model NSFD scheme fuzzy equilibrium points fuzzy stability analysis

Water-responsive 4D printing based on self-assembly of hydrophobic protein “Zein” for the control of degradation rate and drug release

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生物活性材料(英文) 2023年第5期23卷 343-352页

作者： Yubei Zhang ali raza Ya-Qi Xue Ganggang Yang Uzma Hayat Jingwen Yu Chang Liu Hua-Jie Wang Jin-Ye Wang School of Biomedical Engineering Shanghai Jiao Tong University800 Dongchuan RoadShanghai200240China Jiaxing Yaojiao Medical Device Co.Ltd. 321 Jiachuang RoadJiaxing314032China Department of Urology Tongren HospitalSchool of MedicineShanghai Jiao Tong University1111 Xianxia RoadShanghaiChina

Four-dimensional(4D)printing is a promising technology that provides solutions for compelling needs in various *** of the reported 4D printed systems are based on the temporal shape transformation of printed *** of temporal heterogenicity in functions in addition to shape may extend the scope of 4D ***,we report a 4D printing approach using plant protein(zein)gel inspired by the amyloid fibrils formation *** printing of zein gel in a specialized layered-Carbopol supporting bath with different water concentrations in an ethanol-water mixture modulates hydrophobic and hydrogen bonding that causes temporal changes in *** part of the construct printed in a supporting bath with higher water content exhibits higher drug loading,faster drug release and degradation than those printed in the supporting bath with lower water ***-segment conduit and butterfly-shaped construct with two asymmetrical wings are printed using this system to evaluate biomedical function as nerve conduit and drug delivery system.4D printed conduits are also effective as a drug-eluting urethral stent in the porcine ***,this study extends the concept of 4D printing beyond shape transformation and presents an approach of fabricating specialized baths for 4D printing that can also be extended to other materials to obtain 4D printed medical devices with translational potential.

关键词： Zein gels Water-driven 4D printing Protein self-assembly Tunable degradation Controlled drug release

Mass-Casualty Distribution for Emergency Healthcare:A Simulation Analysis

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International Journal of Disaster Risk Science 2020年第3期11卷 364-377页

作者： Mohsin Nasir Jat raza ali Rafique Edwards School of Business University of SaskatchewanSaskatoonSK S7N5A7Canada School of Management and Marketing Kean UniversityUnionNJ 07083USA

This study focuses on the casualty-load distribution problem that arises when a mass casualty incident(MCI)necessitates the engagement of multiple medical *** discrete event simulations,the study analyzed different MCI response regimes in Lahore,Pakistan,that vary in terms of the level of casualty-load distribution and the required coordination between the incident site and the responding *** terrorist attacks in this major metropolitan area were considered to set up experiments for comparing delays in treatment under the modeled *** analysis highlights that the number of casualties that are allowed to queue up at the nearest hospital before diverting the casualty traffic to an alternate hospital can be an important factor in reducing the overall treatment *** diverting the casualty traffic from the incident site to an alternate hospital can increase the travel time,while a delay in diversion can overload the nearest hospital,which can lead to overall longer waiting times in the *** casualty distribution mechanisms based only on the responding hospitals’available capacity and current load can perform inefficiently because they overlook the trade-off between the times casualties spend in traveling and in queues.

关键词： Casualty distribution Emergency response Mass casualty incidents Pakistan Urban terrorism

Modeling of Computer Virus Propagation with Fuzzy Parameters

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Computers, Materials & Continua 2023年第3期74卷 5663-5678页

作者： Reemah M.Alhebshi Nauman Ahmed Dumitru Baleanu Umbreen Fatima Fazal Dayan Muhammad Rafiq ali raza Muhammad Ozair Ahmad Emad E.Mahmoud Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics and Statistics University of LahoreLahore54590Pakistan Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Department of Medical Research China Medical UniversityTaichung406040TaiwanChina Institute of Space Sciences Magurele-Bucharest077125Romania Department of Computer Science University of LahoreLahore54590Pakistan Department of Mathematics School of ScienceUniversity of Management and TechnologyLahore54000Pakistan Department of Mathematics Faculty of Science and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Mathematics Near East University TRNCMersin10Turkey Department of Mathematics Government Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore5400Pakistan Department of Mathematics and Statistics College of ScienceTaif UniversityP O Box11099Taif21944Saudi Arabia

Typically,a computer has infectivity as soon as it is *** is a reality that no antivirus programming can identify and eliminate all kinds of viruses,suggesting that infections would persevere on the *** understand the dynamics of the virus propagation in a better way,a computer virus spread model with fuzzy parameters is presented in this *** is assumed that all infected computers do not have the same contribution to the virus transmission process and each computer has a different degree of infectivity,which depends on the quantity of *** this,the parametersβandγbeing functions of the computer virus load,are considered fuzzy *** fuzzy theory helps us understand the spread of computer viruses more realistically as these parameters have fixed values in classical *** essential features of the model,like reproduction number and equilibrium analysis,are discussed in fuzzy ***,with fuzziness,two numerical methods,the forward Euler technique,and a nonstandard finite difference(NSFD)scheme,respectively,are developed and *** the evidence of the numerical simulations,the proposed NSFD method preserves the main features of the dynamic *** can be considered a reliable tool to predict such types of solutions.

关键词： SIR model fuzzy parameters computer virus NSFD scheme stability

Computational Algorithms for the Analysis of Cancer Virotherapy Model

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Computers, Materials & Continua 2022年第5期71卷 3621-3634页

作者： ali raza Dumitru Baleanu Muhammad Rafiq Syed Zaheer Abbas Abubakar Siddique Umer Javed Mehvish Naz Arooj Fatima Tayyba Munawar Hira Batool Zaighum Nazir Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College Wazirabad52000Punjab Higher Education Department(PHED)Lahore54000Pakistan Department of Mathematics University of SialkotSialkot51310Pakistan Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Department of Medical Research China Medical UniversityTaichung40402Taiwan Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahore54500Pakistan Department of Mathematics National College of Business Administration and EconomicsLahore54660Pakistan Department of Mathematics COMSATS University IslamabadWah CampusQuaid AvenueWah Cantonment47040Pakistan Department of Electrical and Computer Engineering COMSATS University IslamabadWah CampusQuaid AvenueWah Cantonment47040Pakistan

Cancer is a common term for many diseases that can affect any part of the *** 2020,ten million people will die due to cancer.A worldwide leading cause of death is cancer by the World Health Organization(WHO)*** of cancer cells,viral therapy,and immune response are identified in this *** and computational modeling is an effective tool to predict the dynamics of cancer *** cell population is categorized into three parts like uninfected cells(x),infected cells(y),virus-free cells(v),and immune cells(z).The modeling of cancerlike diseases is based on the law of mass action(the rate of change of reacting substances is directly proportional to the product of interacting substances).Positivity,boundedness,equilibria,threshold analysis,are part of deterministic *** on,a numerical analysis is designed by using the standard and non-standard finite difference *** non-standard finite difference method is developed to study the long-term behavior of the cancer *** its efficiency,a comparison of the methods is investigated.

关键词： Cancer disease epidemic model algorithms stability analysis

Effects of Matricaria chamomilla Extract on Growth and Maturation of Isolated Mouse Ovarian Follicles in a Three-dimensional Culture System

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Chinese Medical Journal 2018年第2期131卷 218-225页

作者： Hamed Shoorei Arash khaki Nava Ainehchi Mohammad Mehdi Hassanzadeh Taheri Moloud Tahmasebi Giti Seyedghiasi Ziba Ghoreishi Majid Shokoohi Amir Afshin khaki Sayed Haidar Abbas raza Department of Anatomical Sciences Faculty of Medicine Tabriz University of Medical Sciences Tabriz Iran Department of Pathology Tabriz Branch Islamic Azad University Tabriz Iran Women's Rep oduciive Heaiih Rese'arch Center Ta'briz University of Medical Sciences Tabriz Iran Department of Anatomical Sciences Faculty of Medicine Birjand University of Medical Sciences Birjand Iran Department of Anatomical Sciences Faculty of Medicine Tarbiat Modares University Tehran Iran Department of Nursing Faculty of Paramedical Mashhad University of Medical Sciences Mashhad Iran Department of Biology College of Animal Science and Technology Northwest A&F University Yangling Shaanxi 712100 China

Background： The aim of this study was to design and assess the effects of hydroalcoholic extract of Matricaria chamomill^l （MC） on preantral follicle culture of mouse ovaries in a three-dimensional culture system. Methods： Isolated preantral follicles were randomly divided into three main groups： the control group containing 10% fetal bovine serum without MC extract （G1）, the first experimental group supplemented with 25 ktg/ml hydroalcoholic extract of chamomile （G2）, and the second experimental group supplemented with 50 p,g/ml hydroalcoholic extract of chamomile （G3）. Results： After 12 days of culture, the survival rate （P 〈 0.05）, antrum formation （P 〈 0.01）, metaphase two oocytes （P 〈 0.01）, and the expression ofPCNA （P 〈 0.05） and FSHR （P 〈 0.05） genes significantly decreased in G3 as compared with GI. On the other hand, at the last day of culture （day 12）, the mean diameter of follicles cultured in the medium which was supplemented with 50 lag/ml hydroalcoholic extract of chamomile significantly decreased as compared with the GI （P 〈 0.05）. In addition, the levels of progesterone and dehydroepiandrosterone hormones significantly increased in the medium of G3 relative to G I （P 〈 0.01）, while in the medium of G 1, the level of 17[3-estradiol was significantly higher than that of other groups （P 〈 0.01）. Reactive oxygen species levels of metaphase 11 oocytes were significantly decreased in G2 as compared with G1 （P 〈 0.01）. Conclusion： Adding chamomile extract to culture media appeared to decrease follicular function and development.

关键词： Follicular Development Follicular Maturation FSHR Gene PCNA Gene Steroid Hormones Toxicology

Optimization of Coronavirus Pandemic Model Through Artificial Intelligence

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Computers, Materials & Continua 2023年第3期74卷 6807-6822页

作者： Manal M.Alqarni Arooj Nasir Dumitru Baleanu ali raza Tahir Nawaz Cheema Nauman Ahmed Muhammad Rafiq Umbreen Fatima Emad E.Mahmoud Department of Mathematics College of SciencesKing Khalid UniversityAbha61413Saudi Arabia Baqai Medical University Karachi75340Pakistan Shalamar Medical and Dental College Lahore54000Pakistan Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Department of Medical Research China Medical UniversityTaichung40402TaiwanChina Institute of Space Sciences Magurele-Bucharest077125Romania Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Department of Mathematics University of GujratGujrat52200Pakistan Department of Mathematics and Statistics The University of LahoreLahore54590Pakistan Department of Mathematics Faculty of Science and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Computer Science University of LahoreLahore54590Pakistan Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box11099Taif21944Saudi Arabia

Artificial intelligence is demonstrated by machines,unlike the natural intelligence displayed by animals,including *** intelligence research has been defined as the field of study of intelligent agents,which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its *** techniques of intelligent computing solve many applications of mathematical *** researchworkwas designed via a particularmethod of artificial neural networks to solve the mathematical model of *** representation of the mathematical model is made via systems of nonlinear ordinary differential *** differential equations are established by collecting the susceptible,the exposed,the symptomatic,super spreaders,infection with asymptomatic,hospitalized,recovery,and fatality *** generation of the coronavirus model’s dataset is exploited by the strength of the explicit Runge Kutta method for different countries like India,Pakistan,Italy,and many *** generated dataset is approximately used for training,validation,and testing processes for each cyclic update in Bayesian Regularization Backpropagation for the numerical treatment of the dynamics of the desired *** performance and effectiveness of the designed methodology are checked through mean squared error,error histograms,numerical solutions,absolute error,and regression analysis.

关键词： Coronavirus model artificial techniques analysis