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Segmentation and Classification of Stomach Abnormalities Using Deep Learning

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Computers, Materials & Continua 2021年第10期69卷 607-625页

作者： javeria Naz Muhammad Attique Khan Majed Alhaisoni Oh-Young Song Usman tariq Seifedine Kadry Department of Computer Science HITEC University TaxilaTaxilaPakistanl 2College of Computer Science and EngineeringUniversity of Ha’ilHa’ilSaudi Arabial 3Department of SoftwareSejong UniversitySeoulKoreaGwangjin-guKoreal 4College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabial 5Faculty of Applied Computing and TechnologyNoroff University CollegeKristiansandNorway

An automated system is proposed for the detection and classification of GI *** proposed method operates under two pipeline procedures:(a)segmentation of the bleeding infection region and(b)classification of GI abnormalities by deep *** first bleeding region is segmented using a hybrid *** threshold is applied to each channel extracted from the original RGB ***,all channels are merged through mutual information and pixel-based *** a result,the image is *** and deep learning features are extracted in the proposed classification *** transfer learning(TL)approach is used for the extraction of deep *** Local Binary Pattern(LBP)method is used for texture ***,an entropy-based feature selection approach is implemented to select the best features of both deep learning and texture *** selected optimal features are combined with a serial-based technique and the resulting vector is fed to the Ensemble Learning *** experimental process is evaluated on the basis of two datasets:Private and *** accuracy achieved is 99.8 per cent for the private data set and 86.4 percent for the KVASIR data *** can be confirmed that the proposed method is effective in detecting and classifying GI abnormalities and exceeds other methods of comparison.

关键词： Gastrointestinal tract contrast stretching segmentation deep learning features selection

Cognitive Skill Enhancement System Using Neuro-Feedback for ADHD Patients

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Computers, Materials & Continua 2021年第8期68卷 2363-2376页

作者： Muhammad Usman Ghani Khan Zubaira Naz javeria Khan Tanzila Saba Ibrahim Abunadi Amjad Rehman Usman tariq Al-khawarizmi Institute of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Artificial Intelligence and Data Analytics Lab CCIS Prince Sultan UniversityRiyadhSaudi Arabia College of Computer Engineering and Science Prince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

The National Health Interview Survey(NHIS)shows that there are 13.2%of children at the age of 11 to 17 who are suffering from Attention Deficit Hyperactivity Disorder(ADHD),*** treatment methods for ADHD are either psycho-stimulant medications or cognitive *** traditional methods,namely therapy,need a large number of visits to hospitals and include *** could be used for the effective treatment of *** could be a helpful tool in improving children and ADHD patients’cognitive skills by using Brain–Computer Interfaces(BCI).BCI enables the user to interact with the computer through brain activity using Electroencephalography(EEG),which can be used to control different computer applications by processing acquired brain *** paper proposes a system based on neurofeedback that can improve cognitive skills such as attention level,mediation level,and spatial *** proposed system consists of a puzzle game where its complexity increases with each *** signals were acquired using the Neurosky headset;then sent the signals to the designed gaming *** neurofeedback system was tested on 10 different subjects,and their performance was calculated using different evaluation *** results show that this game improves player overall performance from 74%to 98%by playing each game level.

关键词： Neurogaming brain-computer interface attention deficit hyperactivity disorder electroencephalography spatial memory cognitive skills attention level

Exploring the Advantages and Disadvantages of the China-Pakistan Free Trade Agreement

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China & World Economy 2021年第3期29卷 83-103页

作者： Mirajul Haq javeria Saeed Muhammad Akram International Institute of Islamic Economics(HIE) International Islamic University IslamabadPakistan International Institute of Islamic Economics(HIE) International Islamic University Islamabad

This paper explores whether the China-Pakistan Free Trade Agreement(FTA),which entered into ejfect in 2007,has led to advantages or disadvantages for the participating *** assesses the gains and losses associated with the agreement rigorously using two different ***,the revealed comparative advantage index is calculated for 10 commodity *** identifies the commodity groups in which the participating countries have a comparative ***,trade creation and trade diversion are estimated for overall imports and for the commodity-group level *** analysis provides useful information about the commodity groups in which a particular party to the FTA is experiencing an advantage or a *** findings of the study show that China has an advantage in producing capital-intensive goods whereas Pakistan has a comparative advantage in the production of primary and semimanufactured *** empirical findings also indicate that,overall,the formation of the bilateral free trade agreement between Pakistan and China enhances trade with member countries as well as with nonparticipating countries.

关键词： gravity model panel data revealed comparative advantage trade creation trade diversion

A Finite Difference Method and Effective Modification of Gradient Descent Optimization Algorithm for MHD Fluid Flow Over a Linearly Stretching Surface

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Computers, Materials & Continua 2020年第2期62卷 657-677页

作者： Yasir Nawaz Muhammad Shoaib Arif Mairaj Bibi javeria Nawaz Abbasi Umer Javed Amna Nazeer Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityPAF Complex E-9Islamabad44000Pakistan Department of Mathematics Comsats UniversityChak Shahzad CampusIslamabad44000Pakistan Department of Electrical and Computer Engineering Comsats UniversityIslamabadWah CampusWah Cantt47040Pakistan

Present contribution is concerned with the construction and application of a numerical method for the fluid flow problem over a linearly stretching surface with the modification of standard Gradient descent Algorithm to solve the resulted difference *** flow problem is constructed using continuity,and Navier Stoke equations and these PDEs are further converted into boundary value problem by applying suitable similarity transformations.A central finite difference method is proposed that gives third-order accuracy using three grid *** stability conditions of the present proposed method using a Gauss-Seidel iterative procedure is found using Von-Neumann stability criteria and order of the finite difference method is proved by applying the Taylor series on the discretised *** comparison of the presently modified optimisation algorithm with the Gauss-Seidel iterative method and standard Newton’s method in optimisation is also *** can be concluded that the presently modified optimisation Algorithm takes a few iterations to converge with a small value of the parameter contained in it compared with the standard descent algorithm that may take millions of iterations to *** present modification of the steepest descent method converges faster than Gauss-Seidel method and standard steepest descent method,and it may also overcome the deficiency of singular hessian arise in Newton’s method for some of the cases that may arise in optimisation problem(s).

关键词： Magnetohydrodynamic exact finite difference scheme optimization algorithm stability&convergence

Structure-Preserving Dynamics of Stochastic Epidemic Model with the Saturated Incidence Rate

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Computers, Materials & Continua 2020年第8期64卷 797-811页

作者： Wasfi Shatanawi Muhammad Shoaib Arif Ali Raza Muhammad Rafiq Mairaj Bibi javeria Nawaz Abbasi Department of Mathematics and General Sciences Prince Sultan UniversityRiyadhSaudi Arabia Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung40402Taiwan Department of M-Commerce and Multimedia Applications Asia UniversityTaichung41354Taiwan Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityPAF Complex E-9Islamabad44000Pakistan Faculty of Engineering University of Central PunjabLahorePakistan Department of Mathematics Comsats UniversityIslamabadPakistan

The structure-preserving features of the nonlinear stochastic models are positivity,dynamical consistency and *** features have a significant role in different fields of computational biology and many ***,the existing stochastic approaches in literature do not restore aforesaid structure-preserving features,particularly for the stochastic ***,these gaps should be occupied up in literature,by constructing the structure-preserving features preserving numerical *** writing aims to describe the structure-preserving dynamics of the stochastic *** have analysed the effect of reproduction number in stochastic modelling the same as described in the literature for deterministic *** usual explicit stochastic numerical approaches are *** have developed the implicitly driven explicit approach for the stochastic epidemic *** have proved that the newly developed approach is preserving the structural,dynamical properties as positivity,boundedness and dynamical ***,convergence analysis of a newly developed approach and graphically illustration is also presented.

关键词： Epidemic model stochastic numerical approaches convergence analysis

Thermal Analysis of MHD Non-Newtonian Nanofluids over a Porous Media

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Computer Modeling in Engineering & Sciences 2020年第12期125卷 1119-1134页

作者： Asad Ejaz Imran Abbas Yasir Nawaz Muhammad Shoaib Arif Wasfi Shatanawi javeria Nawaz Abbasi Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityIslamabad44000Pakistan Department of Mathematics and General Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung40402TaiwanChina Department of Mathematics Hashemite UniversityZarqa13116Jordan Department of Mathematics Comsats UniversityIslamabad44000Pakistan

In the present research,Tiwari and Das model are used for the impact of a magnetic field on non-Newtonian nanofluid flow in the presence of injection and *** PDEs are converted into ordinary differential equations(ODEs)using the similarity *** obtained ordinary differential equations are solved numerically using shooting method along with *** of the present study uses nanoparticles(NPs)like TiO_(2) andAl_(2)O_(3) and sodium carboxymethyl cellulose(CMC/water)is considered as a base fluid(BF).This study is conducted to find the influence of nanoparticles,Prandtl number,and magnetic field on velocity and temperature profile,however,the Nusselt number and coefficient of skin friction parameters are also presented in detail with the variation of nanoparticles and *** obtained results of the present study are presented *** addition to these,some simulations of partial differential equations are also shown using software for graphing surface plots of velocity profile and streamlines along with surface plots and isothermal contours of the temperature profile.

关键词： MHD non-Newtonian nanofluids porous medium similarity solution Blasius flow

Numerical Simulations for Stochastic Computer Virus Propagation Model

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Computers, Materials & Continua 2020年第1期62卷 61-77页

作者： Muhammad Shoaib Arif Ali Raza Muhammad Rafiq Mairaj Bibi javeria Nawaz Abbasi Amna Nazeer Umer Javed Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityPAF Complex E-9IslamabadPakistan Faculty of Engineering University of Central Punjab LahorePakistan Department of Mathematics Comsats UniversityChak Shahzad CampusIslamabadPakistan Department of Electrical and Computer Engineering Comsats UniversityWah CampusIslamabadPakistan

We are presenting the numerical simulations for the stochastic computer virus propagation model in this *** are comparing the solutions of stochastic and deterministic computer virus *** of a threshold number R0 hold in stochastic computer virus *** R_(0)1 shows virus rapidly spread in the computer ***,stochastic numerical techniques fail to cope with large step sizes of *** suggested structure of the stochastic non-standard finite difference technique can never violate the dynamical *** this basis,we can suggest a collection of strategies for removing virus’s propagation in the computer population.

关键词： Computer virus propagation model Stochastic modelling Stochastic processes Stochastic techniques Convergence analysis

Face Mask and Social Distance Monitoring via Computer Vision and Deployable System Architecture

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Intelligent Automation & Soft Computing 2023年第3期35卷 3641-3658页

作者： Meherab Mamun Ratul Kazi Ayesha Rahman javeria Fazal Naimur Rahman Abanto Riasat Khan Department of Electrical and Computer Engineering North South UniversityDhakaBangladesh

The coronavirus(COVID-19)is a lethal virus causing a rapidly infec-tious disease throughout the *** awareness,taking preventive mea-sures,imposing strict restrictions on public gatherings,wearing facial masks,and maintaining safe social distancing have become crucial factors in keeping the virus at *** though the world has spent a whole year preventing and curing the disease caused by the COVID-19 virus,the statistics show that the virus can cause an outbreak at any time on a large scale if thorough preventive measures are not maintained ***ﬁght the spread of this virus,technologically developed systems have become very ***,the implementation of an automatic,robust,continuous,and lightweight monitoring system that can be efﬁciently deployed on an embedded device still has not become prevalent in the mass *** paper aims to develop an automatic system to simul-taneously detect social distance and face mask violation in real-time that has been deployed in an embedded system.A modiﬁed version of a convolutional neural network,the ResNet50 model,has been utilized to identify masked faces in *** Only Look Once(YOLOv3)approach is applied for object detection and the DeepSORT technique is used to measure the social *** efﬁciency of the proposed model is tested on real-time video sequences taken from a video streaming source from an embedded system,Jetson Nano edge computing device,and smartphones,Android and iOS *** results show that the implemented model can efﬁciently detect facial masks and social distance viola-tions with acceptable accuracy and precision scores.

关键词： Artiﬁcial intelligence COVID-19 deep learning technique face mask detection social distance monitor you only look once

Differential elastic scattering cross sections of protons from Al in 2.4–4.8 MeV energy range

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Nuclear Science and Techniques 2016年第2期27卷 97-100页

作者： Kashif Shahzad Faisal J. Qureshi javeria Taj Ali Awais Javaid Hussain Waheed Akram Shehla Honey Ishaq Ahmad Maaza Malik National Center for Physics Quaid-i-Azam UniversityIslamabad 44000 Pakistan UNESCO-UNISA Africa Chair in Nanosciences/ Nanotechnology College of Graduate Studies University of South Africa Muckleneuk Ridge PO Box 392 Pretoria South Africa Nanosciences African Network (NANOAFNET) iThemba LABS-National Research Foundation 1 Old Faure Road Somerset West 7129 PO Box 722 Somerset West Western Cape Province South Africa

Measurement of differential elastic cross section of protons from aluminum was taken at 165° degree in the2.4–4.8 Me V energy range. The results and measured energy resonances were compared with reported *** data wi... 详细信息

关键词：能量范围微分截面弹性散射质子电子铝能量共振后向散射