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Second Law Analysis of Magneto Radiative GO-MoS_(2)/H_(2)O–(CH_(2)OH)_(2) Hybrid Nanofluid

Computers, Materials & Continua 2021年第7期68卷 213-228页

作者： Adnan Umar Khan Naveed Ahmed Syed Tauseef Mohyud-Din Dumitru Baleanu kottakkaran sooppy nisar Ilyas Khan Department of Mathematics Mohi-ud-Din Islamic UniversityNerian Sharif AJ&K12080Pakistan Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Department of Mathematics Faculty of Sciences HITEC UniversityTaxila Cantt47070Pakistan University of Multan Multan66000Pakistan Department of Mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele077125Romania Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwan Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadiAldawaser11991Saudi Arabia Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam

Entropy Generation Optimization(EGO)attained huge interest of scientists and researchers due to its numerous applications comprised in mechanical engineering,air conditioners,heat engines,thermal machines,heat exchange,refrigerators,heat pumps and substance mixing ***,the study of radiative hybrid nanofluid(GO-MoS_(2)/C_(2)H_(6)O_(2)–H_(2)O)and the conventional nanofluid(MoS_(2)/C_(2)H_(6)O_(2)–H_(2)O)is conducted in the presence of Lorentz *** flow configuration is modeled between the parallel rotating plates in which the lower plate is *** models which govern the flow in rotating system are solved numerically over the domain of interest and furnished the results for the temperature,entropy generation and thermophysical characteristics of the hybrid as well as conventional nanofluids,*** is examined that the thermal profile intensifies against stronger thermal radiations and magnetic *** surface of the plate is heated due to the imposed thermal radiations and magnetic field which cause the increment in the *** is also observed that the temperature declines against more rotating ***,the entropy production increases for more dissipative effects and declines against more magnetized *** conductivities of the hybrid nanofluid enhances promptly in comparison with regular liquid therefore,under consideration hybrid nanofluid is reliable for the heat ***,dominating thermal transport is perceived for the hybrid nanofluid which showed that hybrid suspension GO-MoS_(2)/C_(2)H_(6)O_(2)–H_(2)O is better for industrial,engineering and technological uses.

关键词： Heat transfer thermal radiation Entropy Generation GO-MoS_(2)hybrid nanoparticles thermophysical characteristics

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Mathematical Analysis of Novel Coronavirus (2019-nCov) Delay Pandemic Model

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Computers, Materials & Continua 2020年第9期64卷 1401-1414页

作者： Muhammad Naveed Muhammad Rafiq Ali Raza Nauman Ahmed Ilyas Khan kottakkaran sooppy nisar Atif Hassan Soori Department of Mathematics Air UniversityIslamabadPakistan Faculty of Engineering University of Central Punjab LahorePakistan Department of Mathematics National College of Business Administration and EconomicsLahorePakistan Department of Mathematics and Statistics The University of LahoreLahorePakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh72915Vietnam Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia

In this manuscript,the mathematical analysis of corona virus model with time delay effect is *** modelling of infectious diseases has substantial role in the different disciplines such as biological,engineering,physical,social,behavioural problems and many *** of infectious diseases are dreadful such as HIV/AIDS,Hepatitis and ***,due to the non-availability of vaccine for 2019-nCov around the world,the delay factors like,social distancing,quarantine,travel restrictions,holidays extension,hospitalization and isolation are used as key tools to control the pandemic of *** have analysed the reproduction number𝐑𝐑𝐧𝐧𝐧𝐧𝐧𝐧𝐧𝐧of delayed *** key strategies from the reproduction number of 2019-nCov model,may be followed,according to the nature of the disease as if it is diminished or present in the *** more delaying tactics eventually,led to the control of *** and global stability of 2019-nCov model is presented for the *** have also investigated the effect of delay factor on reproduction number𝐑R_(nCov).Finally,some very useful numerical results are presented to support the theoretical analysis of the model.

关键词： 2019-nCov delay model reproduction number stability analysis numerical results

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Structure Preserving Algorithm for Fractional Order Mathematical Model of COVID-19

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Computers, Materials & Continua 2022年第5期71卷 2141-2157页

作者： Zafar Iqbal Muhammad Aziz-ur Rehman Nauman Ahmed Ali Raza Muhammad Rafiq Ilyas Khan kottakkaran sooppy nisar Department of Mathematics University of Management and TechnologyLahorePakistan Department of Mathematics and Statistics The University of LahoreLahorePakistan Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityIslamabad44000Pakistan Department of Mathematics National College of Business Administration and EconomicsLahorePakistan Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahore54500Pakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam Bin Abdulaziz UniversityAlkharj11991Kingdom of Saudi Arabia

In this article,a brief biological structure and some basic properties of COVID-19 are described.A classical integer order model is modified and converted into a fractional order model withξas order of the fractional ***,a valued structure preserving the numerical design,coined as Grunwald–Letnikov non-standard finite difference scheme,is developed for the fractional COVID-19 *** into account the importance of the positivity and boundedness of the state variables,some productive results have been proved to ensure these essential *** of the model at a corona free and a corona existing equilibrium points is investigated on the basis of Eigen *** Routh–Hurwitz criterion is applied for the local stability *** appropriate example with fitted and estimated set of parametric values is presented for the *** solutions are displayed for the chosen values ofξ(fractional order of the derivatives).The role of quarantined policy is also determined gradually to highlight its significance and relevancy in controlling infectious *** the end,outcomes of the study are presented.

关键词： Coronavirus pandemic model deterministic ordinary differential equations numerical methods convergence analysis

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A Fractal-Fractional Model for the MHD Flow of Casson Fluid in a Channel

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Computers, Materials & Continua 2021年第5期67卷 1385-1398页

作者： Nadeem Ahmad Sheikh Dennis Ling Chuan Ching Thabet Abdeljawad Ilyas Khan Muhammad Jamil kottakkaran sooppy nisar Fundamental and Applied Science Department Universiti Teknologi PETRONASPerak32610Malaysia Department of Mathematics City University of Science and Information TechnologyPeshawar25000Pakistan Department of Mathematics and General Sciences Prince Sultan University11586RiyadhSaudi Arabia Department of Medical Research China Medical University40402TaichungTaiwanChina Department of Computer Science and Information Engineering Asia UniversityTaichungTaiwanChina Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Geosciences Universiti Teknologi PETRONASPerak32610Malaysia Department of Earth Sciences COMSATS University IslamabadAbbottabad CampusAbbottabad22010Pakistan Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

An emerging definition of the fractal-fractional operator has been used in this study for the modeling of Casson fluid *** magnetohydrodynamics flow of Casson fluid has cogent in a channel where the motion of the upper plate generates the flow while the lower plate is at a static *** proposed model is non-dimensionalized using the Pi-Buckingham theorem to reduce the complexity in solving the model and computation *** non-dimensional fractal-fractional model with the power-law kernel has been solved through the Laplace transform *** Mathcad software has been used for illustration of the influence of various parameters,i.e.,Hartman number,fractal,fractional,and Casson fluid parameters on the velocity of fluid *** graphs and tables,the results have been implemented and it is shown that the boundary conditions are fully *** results reveal that the flow velocity is decreasing with the increasing values of the Hartman number and is increasing with the increasing values of the Casson fluid *** findings of the fractal-fractional model have elucidated that the memory effect of the flow model has higher quality than the simple fractional and classical ***,to show the validity of the obtained closed-form solutions,special cases have been obtained which are in agreement with the already published solutions.

关键词： Fractal-fractional derivative Casson fluid MHD flow exact solutions

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Al_(2)O_(3) andγAl_(2)O_(3) Nanomaterials Based Nanofluid Models with Surface Diffusion:Applications for Thermal Performance in Multiple Engineering Systems and Industries

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Computers, Materials & Continua 2021年第2期66卷 1563-1576页

作者： Adnan Umar Khan Naveed Ahmed Syed Tauseef Mohyud-Din Ilyas Khan Dumitru Baleanu kottakkaran sooppy nisar Department of Mathematics Mohi-ud-Din Islamic UniversityNerian Sharif12080Pakistan Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Department of Mathematics Faculty of SciencesHITEC UniversityTaxila Cantt47070Pakistan University of Multan Multan66000Pakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele077125Romania Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwan Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

Thermal transport investigation in colloidal suspensions is taking a significant research *** applications of these fluids are found in various industries,engineering,aerodynamics,mechanical engineering and medical sciences etc.A huge amount of thermal transport is essential in the operation of various industrial production *** is a fact that conventional liquids have lower thermal transport characteristics as compared to colloidal *** colloidal suspensions have high thermal performance due to the thermophysical attributes of the nanoparticles and the host ***,researchers focused on the analysis of the heat transport in nanofluids under diverse *** such,the colloidal analysis of H_(2)O composed byγAl_(2)O_(3)and Al_(2)O_(3)is conducted over an elastic *** governing flow models ofγAl_(2)O_(3)/H_(2)O and Al_(2)O_(3)/H_(2)O is reduced in the dimensionless form by adopting the described similarity *** colloidal models are handled by implementing the suitable numerical technique and provided the results for the velocity,temperature and local thermal performance rate against the multiple flow *** the presented results,it is shown that the velocity of Al_(2)O_(3)–H_(2)O increases promptly against a high Reynolds number and it decreases for high-volume *** significant contribution of the volumetric fraction is examined for thermal enhancement of *** temperature of Al_(2)O_(3)–H_(2)O andγAl_(2)O_(3)–H_(2)O significantly increases against a higherϕ.Most importantly,the analysis shows thatγAl_(2)O_(3)–H_(2)O has a high local thermal performance rate compared to Al_(2)O_(3)–H_(2)***,it is concluded thatγAl_(2)O_(3)–H_(2)O is a better heat transfer fluid and is suitable for industrial and technological uses.

关键词： Thermal performance Al_(2)O_(3)andγAl_(2)O_(3)nanomaterials thermophysical attributes of nanomaterials stretching cylinder suction/blowing numerical scheme nusselt number

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Is Social Distancing, and Quarantine Effective in Restricting COVID-19 Outbreak? Statistical Evidences from Wuhan, China

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Computers, Materials & Continua 2021年第2期66卷 1977-1985页

作者： Salman A.Cheema Tanveer Kifayat Abdu R.Rahman Umair Khan A.Zaib Ilyas Khan kottakkaran sooppy nisar School of Mathematical and Physical Sciences University of NewcastleNewcastleAustralia Department of Statistics Quaid-i-Azam University IslamabadIslamabadPakistan Department of Mathematics and Social Sciences Sukkur IBA UniversitySukkur65200Pakistan Department of Mathematical Sciences Federal Urdu University of ArtsScience&TechnologyGulshan-e-IqbalKarachiPakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh CityVietnam Department of Mathematics College of Arts and SciencesWadi AldawaserPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia

The flow of novel coronavirus(COVID-19)has affected almost every aspect of human life around the *** the emerging ground and early sufferer of the virus,Wuhan city-data remains a case of multifold ***,it is of notable importance to explore the impact of unique and unprecedented public health response of Chinese authorities—the extreme lockdown of the *** this research,we investigate the statistical nature of the viral transmission concerning social distancing,extreme quarantine,and robust lockdown *** observed highly convincing and statistically significant evidences in favor of quarantine and social distancing *** findings might help countries,now facing,or likely to face the wave of the *** analyzed Wuhan-based data of“number of deaths”and“confirmed cases,”extracted from China CDC weekly database,dated from February 13,2020,to March 24,*** estimate the underlying group structure,the assembled data is further subdivided into three blocks,each consists of two ***,the complete data set is studied in three phases,such as,phase 1(Ph 1)=February 13,2020,to February 26,2020;phase 2(Ph 2)=February 27,2020 to March 11,2020;and phase 3(Ph 3)=March 12,2020 to March 24,*** observed the overall median proportion of deaths in those six weeks remained *** estimate is highly influenced by Ph1,when the early flaws of weak health response were still *** the time,we witnessed a median decline of 92.12%in the death ***,a non-parametric version of the variability analysis of death data,estimated that the average rank of reported proportions in Ph 3 remained 7,which was 20.5 in Ph 2,and stayed 34.5 in the first *** patterns were observed,when studying the confirmed cases *** estimated the overall median of the proportion of confirmed cases in Wuhan as 0.0041,which again,is highly inclined towards Ph 1 and Ph *** also witnessed minimum average rank proportions fo

关键词： COVID-19 k-mean clustering statistical methods variability analysis

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BHGSO:Binary Hunger Games Search Optimization Algorithm for Feature Selection Problem

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Computers, Materials & Continua 2022年第1期70卷 557-579页

作者： R.Manjula Devi M.Premkumar Pradeep Jangir B.Santhosh Kumar Dalal Alrowaili kottakkaran sooppy nisar Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Electrical and Electronics Engineering Dayananda Sagar College of EngineeringBengaluru560078KarnatakaIndia Rajasthan Rajya Vidyut Prasaran Nigam Sikar332025RajasthanIndia Department of Computer Science and Engineering Guru Nanak Institute of TechnologyHyderabad501506TelanganaIndia Mathematics Department College of ScienceJouf UniversitySakakaP.O.Box:2014Saudi Arabia Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

In machine learning and data mining,feature selection(FS)is a traditional and complicated optimization *** the run time increases exponentially,FS is treated as an NP-hard *** researcher’s effort to build a new FS solution was inspired by the ongoing need for an efficient FS framework and the success rates of swarming outcomes in different optimization *** paper presents two binary variants of a Hunger Games Search Optimization(HGSO)algorithm based on V-and S-shaped transfer functions within a wrapper FS model for choosing the best features from a large *** proposed technique transforms the continuous HGSO into a binary variant using V-and S-shaped transfer functions(BHGSO-V and BHGSO-S).To validate the accuracy,16 famous UCI datasets are considered and compared with different state-of-the-art metaheuristic binary *** findings demonstrate that BHGSO-V achieves better performance in terms of the selected number of features,classification accuracy,run time,and fitness values than other state-of-the-art *** results demonstrate that the BHGSO-V algorithm can reduce dimensionality and choose the most helpful features for classification *** proposed BHGSO-V achieves 95%average classification accuracy for most of the datasets,and run time is less than 5 *** low and medium dimensional datasets and less than 10 sec for high dimensional datasets.

关键词： Binary optimization feature selection machine learning hunger games search optimization

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IRKO:An Improved Runge-Kutta Optimization Algorithm for Global Optimization Problems

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Computers, Materials & Continua 2022年第3期70卷 4803-4827页

作者： R.Manjula Devi M.Premkumar Pradeep Jangir Mohamed Abdelghany Elkotb Rajvikram Madurai Elavarasan kottakkaran sooppy nisar Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Electrical&Electronics Engineering Dayananda Sagar College of EngineeringBengaluru560078KarnatakaIndia Rajasthan Rajya Vidyut Prasaran Nigam Sikar332025RajasthanIndia Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Mechanical Engineering Department Faculty of EngineeringKafrelsheikh UniversityEgypt Clean and Resilient Energy Systems(CARES)Laboratory Texas A&MUniversityGalveston77553TXUSA College of Arts and Sciences Prince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

Optimization is a key technique for maximizing or minimizing functions and achieving optimal cost,gains,energy,mass,and so *** order to solve optimization problems,metaheuristic algorithms are *** of these techniques are influenced by collective knowledge and natural *** is no such thing as the best or worst algorithm;instead,there are more effective algorithms for certain ***,in this paper,a new improved variant of a recently proposed metaphorless Runge-Kutta Optimization(RKO)algorithm,called Improved Runge-Kutta Optimization(IRKO)algorithm,is suggested for solving optimization *** IRKO is formulated using the basic RKO and local escaping operator to enhance the diversification and intensification capability of the basic RKO *** performance of the proposed IRKO algorithm is validated on 23 standard benchmark functions and three engineering constrained optimization *** outcomes of IRKO are compared with seven state-of-the-art algorithms,including the basic RKO *** to other algorithms,the recommended IRKO algorithm is superior in discovering the optimal results for all selected optimization *** runtime of IRKO is less than 0.5 s for most of the 23 benchmark problems and stands first for most of the selected problems,including real-world optimization problems.

关键词： Engineering design global optimization local escaping operator metaheuristics Runge-Kutta optimization algorithm

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State-of-Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Deep Neural Network

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Computers, Materials & Continua 2022年第12期73卷 6289-6306页

作者： M.Premkumar R.Sowmya S.Sridhar C.Kumar Mohamed Abbas Malak S.Alqahtani kottakkaran sooppy nisar Department of Electrical and Electronics Engineering Dayananda Sagar College of EngineeringBengaluru560078KarnatakaIndia Department of Electrical and Electronics Engineering National Institute of TechnologyTiruchirapalli620015Tamil NaduIndia Department of Electrical and Electronics Engineering M S Ramaiah Institute of TechnologyBengaluru560054KarnatakaIndia Department of Electrical and Electronics Engineering M.Kumarasamy College of EngineeringKarur639113Tamil NaduIndia Electrical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Computers and Communications Department College of EngineeringDelta University for Science and TechnologyGamasa35712Egypt Faculty of Technology The GatewayDe Montfort UniversityLeicesterLE19BHUnited Kingdom Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

It is critical to have precise data about Lithium-ion batteries,such as the State-of-Charge(SoC),to maintain a safe and consistent functioning of battery packs in energy storage systems of electric *** strategies for estimating battery SoC,such as by including the coulomb counting and Kalman filter,have been *** a result of the differences in parameter values between each cell,when these methods are applied to highcapacity battery packs,it has difficulties sustaining the prediction accuracy of overall *** a result of aging,the variation in the parameters of each cell is higher as more time is spent in *** is suggested in this study to establish an SoC estimate model for a Lithium-ion battery by employing an enhanced Deep Neural Network(DNN)*** is because the proposed DNN has a substantial hidden layer,which can accurately predict the SoC of an unknown driving cycle during training,making it ideal for SoC *** evaluate the nonlinearities between voltage and current at various SoCs and temperatures,the proposed DNN is *** current and voltage data measured at various temperatures throughout discharge/charge cycles is necessary for training and testing *** the method has been thoroughly trained with the data collected,it is used for additional cells cycle tests to predict their *** simulation has been conducted for two different Li-ion battery *** to the experimental data,the suggested DNN-based SoC estimate approach produces a low mean absolute error and root-mean-square-error values,say less than 5%errors.

关键词： Artificial intelligence deep neural network Li-ion battery parameter variation SoC estimation

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Physical properties and maximum allowable mass-radius relation of complexity-free compact stellar objects within modified f(R,T)gravity formalism

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Chinese Physics C 2024年第7期48卷 273-288页

作者： M.K.Jasim S.K.Maurya Abdelghani Errehymy Ali Khalid Jassim kottakkaran sooppy nisar Abdel-Haleem Abdel-Aty Department of Mathematical and Physical Sciences College of Arts and SciencesUniversity of NizwaNizwa 616Sultanate of Oman Astrophysics Research Centre School of MathematicsStatistics and Computer ScienceUniversity of KwaZulu-NatalPrivate Bag X54001Durban 4000South Africa Electrical Engineering Department College of EngineeringMustansiriyah UniversityBaghdadIraq Department of Mathematics College of Science and Humanities in AlkharjPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia Department of Physics College of SciencesUniversity of BishaP.O.Box 344Bisha 61922Saudi Arabia

This paper investigates the physical properties and predicted radii of compact stars generated by the Tolman-IV complexity-free model within the background of modified gravity theory,particularly the f(R,T)-gravity theory,under complexity formalism for a spherically symmetric spacetime proposed by ***[Phys Rev D 97:044010,2018].By solving the resulting set of differential equations,we obtain the explicit forms of the energy-momentum(EM)tensor components,including the density,radial pressure,and tangential *** influence of the parameterχon various physical properties of the star is thoroughly *** model undergoes a series of rigorous tests to determine its physical *** findings indicate that the model exhibits regularity,stability,and a surface with vanishing *** boundary of this surface is determined by carefully selecting the parameter *** complexity method employed in f(R,T)gravity offers an interesting approach for developing astrophysical models that are consistent with observable events as demonstrated by recent *** this regard,we use observational data from the GW190814 event,detected by the LIGO and Virgo observatories,to investigate the validity of the Tolman-IV model in f(R,T)*** analysis includes comparing the model's predictions with the observed characteristics of the compact object involved in the *** addition,data from two-millisecond pulsars,PSR J1614-2230 and PSR J0952-0607,are incorporated to further constrain the theoretical ***,we present a diagram depicting the relationship between the total mass and radius of the compact object candidates for different values ofχ.

关键词： complexity modified gravity compact Stars

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