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Flow and Melting Thermal Transfer Enhancement Analysis of Alumina,Titanium Oxide-Based Maxwell Nanofluid Flow Inside Double Rotating Disks with Finite-Element Simulation

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1771-1788页

作者： Liangliang Chen Madeeha tahir Sumeira Yasmin Taseer Muhammad Muhammad Imran Fenghua Liu ChongqingWater Resources and Electric Engineering Collage Chongqing402160China Department of Mathematics Government College Women UniversityFaisalabad38000Pakistan Department of Mathematics Government College University FaisalabadLayyah CampusLayyah31200Pakistan Department of Mathematics College of SciencesKing Khalid UniversityAbha61413Saudi Arabia Department of Mathematics Government College UniversityFaisalabad38000Pakistan

The energy produced by the melting stretching disks surface has a wide range of commercial applications,including semi-conductor material preparation,magma solidification,permafrost melting,and frozen land refreezing,among *** view of this,in the current communication we analyzed magnetohydrodynamic flow ofMaxwell nanofluid between two parallel rotating *** are important due to their astonishing properties in heat conduction flows and in the enhancement of electronic and manufacturing ***,the distinct tinysized particles Al_(2)O_(3)and TiO_(2)in theMaxwell water-based fluid for enhancing the heat transfer rate are *** heat equation is developed in the occurrence of thermal *** influences of melting impacts are *** mathematical model is developed in the form of partial differential expressions then converted to ordinary differential equations by employing tool of similarity *** element method(FEM)is chosen for solving the nonlinear governing ordinary differential equations(ODEs)with necessary *** consequence of flow parameters against the velocity profiles and heat transport field is *** noted novelty of this communication is to discuss the thermal transfer of Maxwell nanofluid model through double stretching disks with thermal radiation and melting ***,Al_(2)O_(3)/water and TiO_(2)/water are considered in the modeling.

关键词： Maxwell nanofluid melting phenomenon thermal radiation revolving stretching disks finite element method(FEM)

Live Migration of Virtual Machines Using a Mamdani Fuzzy Inference System

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Computers, Materials & Continua 2022年第5期71卷 3019-3033页

作者： tahir Alyas Iqra Javed Abdallah Namoun Ali Tufail Sami Alshmrany Nadia Tabassum Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahMadinah42351Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan

Efforts were exerted to enhance the live virtual machines(VMs)migration,including performance improvements of the live migration of services to the *** VMs empower the cloud users to store relevant data and ***,the utilization of servers has increased significantly because of the virtualization of computer systems,leading to a rise in power consumption and storage requirements by data centers,and thereby the running *** center migration technologies are used to reduce risk,minimize downtime,and streamline and accelerate the data center move ***,several parameters,such as non-network overheads and downtime adjustment,may impact the live migration time and server downtime to a large *** virtualizing the network resources,the infrastructure as a service(IaaS)can be used dynamically to allocate the bandwidth to services and monitor the network flow *** to the large amount of filthy retransmission,existing live migration systems still suffer from extensive downtime and significant performance degradation in crossdata-center *** study aims to minimize the energy consumption by restricting the VMs migration and switching off the guests depending on a threshold,thereby boosting the residual network bandwidth in the data center with a minimal breach of the service level agreement(SLA).In this research,we analyzed and evaluated the findings observed through simulating different parameters,like availability,downtime,and outage of VMs in data center *** new paradigm is composed of two forms of detection strategies in the live migration approach from the source host to the destination source machine.

关键词： Cloud computing IaaS data centre storage performance analysis live migration

Dombi-Normalized Weighted Bonferroni Mean Operators with Novel Multiple-Valued Complex Neutrosophic Uncertain Linguistic Sets and Their Application in Decision Making

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1587-1623页

作者： tahir Mahmood Zeeshan Ali Dulyawit Prangchumpol Thammarat Panityakul Department of Mathematics and Statistics International Islamic UniversityIslamabad44000Pakistan Department of Information Technology Faculty of Science and TechnologySuan Sunandha Rajabhat UniversityBangkok10300Thailand Division of Computational Science Faculty of SciencePrince of Songkla UniversityHat YaiSongkhla90110Thailand

Although fuzzy set concepts have evolved,neutrosophic sets are attractingmore attention due to the greater power of the structure of neutrosophic *** ability to account for components that are true,false or neither true nor false is useful in the resolution of real-life ***,simultaneous variations render neutrosophic sets unsuitable in specific *** enable the management of these sorts of issues,we combine the principle of multi-valued neutrosophic uncertain linguistic sets and complex fuzzy sets to develop the principle of multivalued complex neutrosophic uncertain linguistic ***-valued complex neutrosophic uncertain linguistic sets can contain grades of truth,abstinence,and falsity,and uncertain linguistic terms,which are expressed as complex numbers whose real and imaginary parts are limited to the unit *** important Dombi laws are elaborated along with Bonferroni mean operators,which offer a flexible general structure with modifiable *** means aggregation operators perform a significant role in conveying the magnitude level of options and *** determine relationships among any number of attributes,we develop multi-valued complex neutrosophic uncertain linguistic Dombi-normalized weighted Bonferroni mean operators and discuss their important properties with some special *** using these laws,we can deploy themulti-attribute decisionmaking(MADM)technique using the novel principle of multi-valued complex neutrosophic uncertain linguistic *** determine the power and flexibility of the elaborated approach,we resolve some numerical examples based on the proposed ***,the work is validated with the help of comparative analysis,a discussion of its advantages,and geometric expressions of the elaborated theories.

关键词： Multi-valued complex neutrosophic uncertain linguistic sets Dombi normalized weighted Bonferroni mean operators multi-attribute decision-making methods

Cartesian Product Based Transfer Learning Implementation for Brain Tumor Classification

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Computers, Materials & Continua 2022年第11期73卷 4369-4392页

作者： Irfan Ahmed Usmani Muhammad tahir Qadri Razia Zia Asif Aziz Farheen Saeed Electronic Engineering Department Sir Syed University of Engineering&TechnologyKarachi75300Pakistan Department of Computer Science Bahria University Karachi CampusKarachi75260Pakistan Christus Trinity Clinic TexasUSA

Knowledge-based transfer learning techniques have shown good performance for brain tumor classification,especially with small ***,to obtain an optimized model for targeted brain tumor classification,it is challenging to select a pre-trained deep learning(DL)model,optimal values of hyperparameters,and optimization algorithm(solver).This paper first presents a brief review of recent literature related to brain tumor ***,a robust framework for implementing the transfer learning technique is *** the proposed framework,a Cartesian product matrix is generated to determine the optimal values of the two important hyperparameters:batch size and learning *** extensive exercise consisting of 435 simulations for 11 state-of-the-art pre-trained DL models was performed using 16 paired hyperparameters from the Cartesian product matrix to input the model with the three most popular solvers(stochastic gradient descent with momentum(SGDM),adaptive moment estimation(ADAM),and root mean squared propagation(RMSProp)).The 16 pairs were formed using individual hyperparameter values taken from literature,which generally addressed only one hyperparameter for optimization,rather than making a grid for a particular *** proposed framework was assessed using a multi-class publicly available dataset consisting of glioma,meningioma,and pituitary *** assessment shows that ResNet18 outperforms all other models in terms of accuracy,precision,specificity,and recall(sensitivity).The results are also compared with existing state-of-the-art research work that used the same *** comparison was mainly based on performance metric“accuracy”with support of three other parameters“precision,”“recall,”and“specificity.”The comparison shows that the transfer learning technique,implemented through our proposed framework for brain tumor classification,outperformed all existing *** the best of our knowledge,the proposed framework is a

关键词： Deep transfer learning Cartesian product hyperparameter optimization magnetic resonance imaging(MRI) brain tumor classification

Biomimetic brain-like nanostructures for solid polymer electrolytes with fast ion transport

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Science China Materials 2022年第6期65卷 1476-1484页

作者： Ahmed Eissa Abdelmaoula Lulu Du Lin Xu Yu Cheng Amir AMahdy Muhammad tahir Ziang Liu Liqiang Mai State Key Laboratory of Advanced Technology for Materials Synthesis and Processing School of Materials Science and EngineeringWuhan University of TechnologyWuhan 430070China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Xianhu Hydrogen ValleyFoshan 528200China Mining and Metallurgical Department Faculty of EngineeringAl-Azhar UniversityCairo 11884Egypt

The intrinsic drawbacks of electrolytes and the growth of lithium dendrites limit the development of commercial lithium *** address the aforementioned challenges,a novel biomimetic brain-like nanostructure(BBLN)solid polymer electrolyte was created by manipulating the shape of the incorporated *** designed BBLN solid polymer electrolyte was created by incorporating spherical core-shell(UIO-66@67)fillers into polymer electrolyte,which is significantly different from traditional polymer-based composite ***-66@67 spherical nanoparticles are highly favorable to eliminating polymer electrolyte stress and deformation during solidification,indicating a great potential for fabricating highly uniform BBLN solid polymer electrolytes with a substantial number of continuous ***,spherical nanoparticles can significantly reduce the crystalline structure of polymer electrolytes,improving polymer chain segmental movement and providing continuous pathways for rapid ion *** a result,BBLN solid polymer electrolyte shows excellent ionic conductivity(9.2×10^(−4)S cm^(−1)),a high lithium transference number(0.74),and outstanding cycle stability against lithium electrodes over 6500 h at room *** concept of biomimetic brain-like nanostructures in this work demonstrates a novel strategy to enhance ion transport in polymerbased electrolytes for solid-state batteries.

关键词： brain structure spherical nanoparticles continuous interphase nanophase separation MOF-in-MOF

RePizer：a framework for prioritization of software requirements

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Frontiers of Information Technology & Electronic Engineering 2016年第8期17卷 750-765页

作者： Saif Ur Rehman KHAN Sai Peck LEE mohammad DABBAGH Muhammad tahir Muzafar KHAN Muhammad ARIF Department of Software Engineering Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur 50603 Malaysia Faculty of Computing and Information Technology University of Jeddah Jeddah 21589 Saudi Arabia College of Computer and Information Sciences (Muzahmiyah Branch) King Saud University Riyadh 11362 Saudi Arabia Department of Computer Science University of Gujrat Gujrat 50700 Pakistan

The standard software development life cycle heavily depends on requirements elicited from stakeholders. Based on those requirements, software development is planned and managed from its inception phase to closure. Due to time and resource constraints, it is imperative to identify the high-priority requirements that need to be considered first during the software development process. Moreover, existing prioritization frameworks lack a store of historical data useful for selecting the most suitable prioritization technique of any similar project domain. In this paper, we propose a framework for prioritization of software requirements, called Re Pizer, to be used in conjunction with a selected prioritization technique to rank software requirements based on defined criteria such as implementation cost. ReP izer assists requirements engineers in a decision-making process by retrieving historical data from a requirements repository. Re Pizer also provides a panoramic view of the entire project to ensure the judicious use of software development resources. We compared the performance of Re Pizer in terms of expected accuracy and ease of use while separately adopting two different prioritization techniques, planning game（PG） and analytical hierarchy process（AHP）. The results showed that Re Pizer performed better when used in conjunction with the PG technique.

关键词： Software requirements Requirements prioritization techniques Prioritization framework Planning game Analytical hierarchy process

A Query-Based Greedy Approach for Authentic Influencer Discovery in SIoT

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Computers, Materials & Continua 2023年第3期74卷 6535-6553页

作者： Farah Batool Abdul Rehman Dongsun Kim Assad Abbas Raheel Nawaz tahir Mustafa Madni COMSATS University Islamabad IslamabadPakistan School of Computer Science and Engineering Kyungpook National UniversityDaegu41566Korea Department of Operations TechnologyEvents and Hospitality ManagementManchester Metropolitan UniversityUnited Kingdom

The authors propose an informed search greedy approach that efficiently identifies the influencer nodes in the social Internet of Things with the ability to provide legitimate ***,the proposed approach minimizes the network size and eliminates undesirable *** that,the proposed approach ranks each of the nodes and prioritizes them to identify an authentic ***,the proposed approach discards the nodes having a rank(α)lesser than 0.5 to reduce the network complexity.αis the variable value represents the rank of each node that varies between 0 to *** with the higher value ofαgets the higher priority and vice *** threshold valueα=0.5 defined by the authors with respect to their network pruning requirements that can be vary with respect to other research ***,the algorithm in the proposed approach traverses the trimmed network to identify the authentic node to obtain the desired *** performance of the proposed method is evaluated in terms of time complexity and accuracy by executing the algorithm on both the original and pruned *** results show that the approach identifies authentic influencers on a resultant network in significantly less time than in the original ***,the accuracy of the proposed approach in identifying the influencer node is significantly higher than that of the original ***,the comparison of the proposed approach with the existing approaches demonstrates its efficiency in terms of time consumption and network traversal through the minimum number of hops.

关键词： Online social network influencer search query-based approach greedy search social internet of things(siot)

QoS Based Cloud Security Evaluation Using Neuro Fuzzy Model

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Computers, Materials & Continua 2022年第1期70卷 1127-1140页

作者： Nadia Tabassum tahir Alyas Muhammad Hamid Muhammad Saleem Saadia Malik Syeda Binish Zahra Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer science University of veterinary and animal sciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia

Cloud systems are tools and software for cloud computing that are deployed on the Internet or a cloud computing network,and users can use them at any *** assessing and choosing cloud providers,however,customers confront the variety and difficulty of quality of service(QoS).To increase customer retention and engagement success rates,it is critical to research and develops an accurate and objective evaluation *** is the emerging environment for distributed services at various *** to the benefits of this environment,globally cloud is being taken as a standard environment for individuals as well as for the corporate sector as it reduces capital expenditure and provides secure,accessible,and manageable services to all stakeholders but Cloud computing has security challenges,including vulnerability for clients and association acknowledgment,that delay the rapid adoption of computing *** of resources in the Cloud is difficult because resources provide numerous measures of quality of *** this paper,the proposed resource allocation approach is based on attribute QoS Scoring that takes into account parameters the reputation of the asset,task completion time,task completion ratio,and resource *** article is focused on the cloud service’s security,cloud reliability,and could *** this paper,the machine learning algorithm neuro-fuzzy has been used to address the cloud security issues to measure the parameter security and privacy,trust *** findings reveal that the ANFIS-dependent parameters are primarily designed to discern anomalies in cloud security and features output normally yields better results and guarantees data consistency and computational power.

关键词： Cloud computing performance quality of service machine learning neuro-fuzzy

Properties of Certain Subclasses of Analytic Functions Involving q-Poisson Distribution

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1465-1477页

作者： Bilal Khan Zhi-Guo Liu Nazar Khan Aftab Hussain Nasir Khan Muhammad tahir School of Mathematical Sciences and Shanghai Key Laboratory of PMMP East China Normal UniversityShanghai200241China Department of Mathematics Abbottabad University of Science and TechnologyAbbottabad22010Pakistan Department of Mathematics King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics FATA UniversityAkhorwal(Darra Adam Khel)FR Kohat26000Pakistan

By using the basic(or q)-Calculus many subclasses of analytic and univalent functions have been generalized and studied from different viewpoints and *** this paper,we aim to define certain new subclasses of an analytic *** then give necessary and sufficient conditions for each of the defined function *** also study necessary and sufficient conditions for a function whose coefficients are probabilities of q-Poisson *** validate our results,some known consequences are also given in the form of Remarks and Corollaries.

关键词： Analytic function q-difference operator sufficient condition q-Poisson distribution