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MHD Flow of an Oldroyd-B Fluid through a Porous Space Induced by Sawtooth Pulses

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Chinese Physics Letters 2011年第8期28卷 161-164页

作者： masood khan Zeeshan Department of Mathematics Quaid-i-Azam UniversityIslamabad 44000Pakistan

We investigate the unsteady magnetohydrodynamic(MHD)flow of an Oldroyd-B fluid through a porous space induced by sawtooth *** fluid is assumed to be electrically conducting in the presence of a transverse uniform magnetic *** porous space is taken into account using modified Darcy's law for the Oldroyd-B *** solutions of the governing problem are obtained by using the Laplace transform *** effects of the magnetic parameter,the permeability of the porous space and the elasticity parameter of the fluid are studied on the flow characteristics.

关键词： method field porous

Effects of Thermal Radiation and Slip Mechanism on Mixed Convection Flow of Williamson Nanofluid Over an Inclined Stretching Cylinder

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Communications in Theoretical Physics 2019年第12期71卷 1405-1415页

作者： masood khan Aamir Hamid Hashim Department of Mathematics Quaid-i-Azam UniversityIslamabad 44000Pakistan Department of Mathematics&Statistics Riphah International UniversityIslamabadPakistan

The current investigation highlights the mixed convection slip flow and radiative heat transport of uniformly electrically conducting Williamson nanofluid yield by an inclined circular cylinder in the presence of Brownian motion and thermophoresis parameter.A Lorentzian magnetic body force model is employed and magnetic induction effects are *** governing equations are reduced to a system of nonlinear ordinary differential equations with associated boundary conditions by applying scaling group *** reduced nonlinear ordinary differential equations are then solved numerically by Runge-Kutta-Fehlberg fifth-order method with shooting *** effects of magnetic field,Prandtl number,mixed convection parameter,buoyancy ratio parameter,Brownian motion parameter,thermophoresis parameter,heat generation/absorption parameter,mass transfer parameter,radiation parameter and Schmidt number on the skin friction coefficient and local Nusselt are analyzed and *** is found that the velocity of the fluid decreases with decrease in curvature parameter,whereas it increases with mixed convection ***,the local Nusselt number decreases with an increase in the radiation *** numerical comparison is also presented with the existing published results and found that the present results are in excellent agreement which also confirms the validity of the present methodology.

关键词： MHD Williamson nanofluid velocity and thermal slip inclined stretching cylinder heat generation/absorption

On the Exact Solution for Axisymmetric Flow and Heat Transfer over a Nonlinear Radially Stretching Sheet

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Chinese Physics Letters 2012年第8期29卷 168-171页

作者： Azeem Shahzad Ramzan Ali masood khan Department of Mathematics Quaid-i-Azam UniversityIslamabad 44000Pakistan

We investigate the boundary-layer flow and heat transfer of a magnetohydrodynamic viscous fluid over a nonlinear radially porous stretching sheet within a porous *** flow is generated due to a nonlinear stretching sheet and influenced by a continuous suction/blowing of the fluid through the porous *** governing momentum and thermal boundary layer equations are converted into ordinary differential equations by appropriate similarity *** exact solution for the velocity and the temperature fields are derived in the form of an incomplete Gamma *** analytic solutions are found by the homotopy analysis *** graphical results for velocity and temperature fields are presented and ***,the numerical values of the skin friction coefficient and the Nusselt number are calculated and discussed.

关键词： function stretching porous

Properties of Exponential Ratio Type Estimators in Equal Probability Sampling: A Simulation Study

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Communications in Mathematics and Statistics 2018年第1期6卷 91-118页

作者： Hina khan Muhammad Aslam masood Amjad khan Department of Statistics GC UniversityLahorePakistan Department of Statistics Faculty of ScienceKing Abdulaziz UniversityJeddah 21551Saudi Arabia

In this paper,the properties and goodness of fit of exponential ratio type estimatorproposedbykhanetal.(SciInt(Lahore)26(5):1897–1902,2014)havebeen carried out through *** has been shown that estimator is consistent;the con-vergence of mean and variance of the estimator are *** properties of some existing estimators based on simulation study have also been *** of fit test on the estimator has been carried out using Kolmogorov–Smirnov,Anderson–Darling,Cramer–von *** as normal,Student t,Weibull and Cauchy distributions are fitted on the *** best-fitted distribution on the estimator turned out to be normal distribution.

关键词： Goodness of fit Distribution Skewed Consistent Convergence

EXACT SOLUTIONS FOR MAGNETOHYDRODYNAMIC FLOW IN A ROTATING FLUID

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Acta Mechanica Sinica 2002年第3期18卷 244-251页

作者： S. Asghar masood khan A.M. Siddiqui T. Hayat Department of Mathematics Quaid-i-Azam University Islamabad Pakistan Department of Mathematics Pennsylvania State University York Campus 1031 Edgecomb Avenue New York PA 17403 USA

An analytical solution is obtained for the flow due to solid-body rotations an oscillating porous disk and of a fluid at infinity. Neglecting the induced magnetic field, the effects of the transversely applied magnetic field on the flow are studied. Further, the flow confined between two disks is also discussed. It is found that an infinite number of solutions exist for the flow confined between two disks.

关键词： rotating fluid porous disk double disks magnetohydrodynamic flow

Intelligent Forecasting Model of COVID-19 Novel Coronavirus Outbreak Empowered with Deep Extreme Learning Machine

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Computers, Materials & Continua 2020年第9期64卷 1329-1342页

作者： Muhammad Adnan khan Sagheer Abbas Khalid masood khan Mohammed AAl Ghamdi Abdur Rehman Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science Umm Al-Qura UniversityMakkah23500Saudi Arabia

An epidemic is a quick and widespread disease that threatens many lives and damages the *** epidemic lifetime should be accurate so that timely and remedial steps are *** include the closing of borders schools,suspension of community and commuting *** forecast of an outbreak effectively is a very necessary but difficult task.A predictive model that provides the best possible forecast is a great challenge for machine learning with only a few samples of training *** work proposes and examines a prediction model based on a deep extreme learning machine(DELM).This methodology is used to carry out an experiment based on the recent Wuhan coronavirus *** optimized prediction model that has been developed,namely DELM,is demonstrated to be able to make a prediction that is fairly *** results show that the new methodology is useful in developing an appropriate forecast when the samples are far from abundant during the critical period of the *** the investigation,it is shown that the proposed approach has the highest accuracy rate of 97.59%with 70%of training,30%of test and *** results validate the prediction effectiveness of the proposed scheme.

关键词： Coronavirus nCoV DELM Mis rate SERS-CoV WHO COVID-19

Intelligent Decision Support System for COVID-19 Empowered with Deep Learning

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Computers, Materials & Continua 2021年第2期66卷 1719-1732页

作者： Shahan Yamin Siddiqui Sagheer Abbas Muhammad Adnan khan Iftikhar Naseer Tehreem masood Khalid masood khan Mohammed A.Al Ghamdi Sultan H.Almotiri School of Computer Science NCBA&ELahore54000Pakistan School of Computer Science Minhaj University LahoreLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan Department of Computer Science&Information Technology Superior UniversityLahore54000Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia

The prompt spread of Coronavirus(COVID-19)subsequently adorns a big threat to the people around the *** evolving and the perpetually diagnosis of coronavirus has become a critical challenge for the healthcare *** increase of COVID-19 has rendered the necessity to detect the people who are more likely to get ***,the testing kits for COVID-19 are not available to deal it with required proficiency,along with-it countries have been widely hit by the COVID-19 *** keep in view the need of hour asks for an automatic diagnosis system for early detection of *** would be a feather in the cap if the early diagnosis of COVID-19 could reveal that how it has been affecting the masses *** to the apparent clinical research,it has unleashed that most of the COVID-19 cases are more likely to fall for a lung *** abrupt changes do require a solution so the technology is out there to pace up,Chest X-ray and Computer tomography(CT)scan images could significantly identify the preliminaries of COVID-19 like lungs *** scan and X-ray images could flourish the cause of detecting at an early stage and it has proved to be helpful to radiologists and the medical *** unbearable circumstances compel us to flatten the curve of the sufferers so a need to develop is obvious,a quick and highly responsive automatic system based on Artificial Intelligence(AI)is always there to aid against the masses to be prone to *** proposed Intelligent decision support system for COVID-19 empowered with deep learning(ID2S-COVID19-DL)study suggests Deep learning(DL)based Convolutional neural network(CNN)approaches for effective and accurate detection to the maximum extent it could be,detection of coronavirus is assisted by using X-ray and CT-scan *** primary experimental results here have depicted the maximum accuracy for training and is around 98.11 percent and for validation it comes out to be approxim

关键词： COVID-19 deep learning convolutional neural network CT-scan X-ray decision support system ID2S-COVID19-DL

Enhance Intrusion Detection in Computer Networks Based on Deep Extreme Learning Machine

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Computers, Materials & Continua 2021年第1期66卷 467-480页

作者： Muhammad Adnan khan Abdur Rehman Khalid masood khan Mohammed A.Al Ghamdi Sultan H.Almotiri Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan School of Computer Science NCBA&ELahore54000Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia

Networks provide a significant function in everyday life,and cybersecurity therefore developed a critical field of *** Intrusion detection system(IDS)becoming an essential information protection strategy that tracks the situation of the software and hardware operating on the *** advancements of growth,current intrusion detection systems also experience difficulties in enhancing detection precision,growing false alarm levels and identifying suspicious *** order to address above mentioned issues,several researchers concentrated on designing intrusion detection systems that rely on machine learning *** learning models will accurately identify the underlying variations among regular information and irregular information with incredible *** intelligence,particularly machine learning methods can be used to develop an intelligent intrusion detection *** in this article in order to achieve this objective,we propose an intrusion detection system focused on a Deep extreme learning machine(DELM)which first establishes the assessment of safety features that lead to their prominence and then constructs an adaptive intrusion detection system focusing on the important *** the moment,we researched the viability of our suggested DELMbased intrusion detection system by conducting dataset assessments and evaluating the performance factors to validate the system *** experimental results illustrate that the suggested framework outclasses traditional *** fact,the suggested framework is not only of interest to scientific research but also of functional importance.

关键词： Intrusion detection system DELM network security machine learning

Marker-Based and Marker-Less Motion Capturing Video Data: Person and Activity Identification Comparison Based on Machine Learning Approaches

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Computers, Materials & Continua 2021年第2期66卷 1269-1282页

作者： Syeda Binish Zahra Muhammad Adnan khan Sagheer Abbas Khalid masood khan Mohammed A.Al-Ghamdi Sultan H.Almotiri School of Computer Science National College for Business Administration and EconomicsLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan Computer Science Department Umm Al-Qura UniversityMakkah CitySaudi Arabia

Biomechanics is the study of physiological properties of data and the measurement of human *** normal conditions,behavioural properties in stable form are created using various inputs of subconscious/conscious human activities such as speech style,body movements in walking patterns,writing style and voice *** cannot perform any change in these inputs that make results reliable and increase the *** aim of our study is to perform a comparative analysis between the marker-based motion capturing system(MBMCS)and the marker-less motion capturing system(MLMCS)using the lower body joint angles of human gait *** both the MLMCS and MBMCS,we collected trajectories of all the participants and performed joint angle computation to identify a person and recognize an activity(walk and running).Using five state of the art machine learning algorithms,we obtained 44.6%and 64.3%accuracy in person identification using MBMCS and MLMCS respectively with an ensemble algorithm(two angles as features).In the second set of experiments,we used six machine learning algorithms to obtain 65.9%accuracy with the k-nearest neighbor(KNN)algorithm(two angles as features)and 74.6%accuracy with an ensemble ***,by increasing features(6 angles),we obtained higher accuracy of 99.3%in MBMCS for person recognition and 98.1%accuracy in MBMCS for activity recognition using the KNN *** is computationally expensive and if we redesign the model of OpenPose with more body joint points and employ more features,MLMCS(low-cost system)can be an effective approach for video data analysis in a person identification and activity recognition process.

关键词： Marker-based motion capturing system marker-less motion capturing system support vector machine K-nearest neighbor