Journal ArticleDOI
Intelligent computing for the dynamics of entropy optimized nanofluidic system under impacts of MHD along thick surface
M. Asif Zahoor Raja,Muhammad Shoaib,Rafia Tabassum,M. Ijaz Khan,M. Ijaz Khan,R. J. Punith Gowda,B. C. Prasannakumara,M.Y. Malik,Wei-Feng Xia +8 more
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This article examines entropy production (EP) of magneto-hydrodynamics viscous fluid flow model (MHD-VFFM) subject to a variable thickness surface with heat sink/source effect by utilizing the intelligent computing paradigm via artificial Levenberg–Marquardt back propagated neural networks (ALM-BPNNs).Abstract:
This article examines entropy production (EP) of magneto-hydrodynamics viscous fluid flow model (MHD-VFFM) subject to a variable thickness surface with heat sink/source effect by utilizing the inte...read more
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Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays
Nabeela Anwar,Iftikhar Ahmad,Muhammad Asif Zahoor Raja,Shafaq Naz,Muhammad Shoaib,Adiqa Kiani +5 more
TL;DR: In this paper , the authors exploited the artificial intelligence knacks-based stochastic paradigm for numerical treatment of the nonlinear delay differential system for dynamics of plant virus propagation with the impact of seasonality and delays (PVP-SD) model by implementing neural networks backpropagation with Bayesian regularization scheme.
Journal ArticleDOI
Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays
Nabeela Anwar,Iftikhar Ahmad,Muhammad Asif Zahoor Raja,Shafaq Naz,Muhammad Shoaib,Adiqa Kiani +5 more
TL;DR: In this article , the authors exploited the artificial intelligence knacks-based stochastic paradigm for numerical treatment of the nonlinear delay differential system for dynamics of plant virus propagation with the impact of seasonality and delays (PVP-SD) model by implementing neural networks backpropagation with Bayesian regularization scheme.
Journal ArticleDOI
Cattaneo–Christov heat flux model for nanofluid flow over a curved stretching sheet: An application of Stefan blowing
R. Naveen Kumar,J. Suresh Goud,Pudhari Srilatha,P. T. Manjunatha,Sobia Rani,Ramanuj Kumar,S. Suresha +6 more
TL;DR: In this article , the thermophoresis and Brownian motion effects in nanofluid flow over a curved stretching sheet (CSS) were investigated, and the Cattaneo-Christov heat flux and Stefan blowing conditions were considered for studying heat and mass transport characteristics.
Journal ArticleDOI
A Design of Predictive Computational Network for Transmission Model of Lassa Fever in Nigeria
Muhammad Shoaib,Rafia Tabassum,Muhammad Asif Zahoor Raja,Kottakkaran Sooppy Nisar,Mohammed Alqahtani,Mohamed Abbas +5 more
TL;DR: In this article , an innovative artificial neural networks (ANNs) based hybrid algorithm of genetics optimization and sequential quadratic programming (AGOSQP) is presented to construct the mathematical model for the dynamics of Lassa fever (DLF) in Nigeria.
Journal ArticleDOI
Intelligent computing for entropy generation in Jeffrey nanofluid through radiated flow
Muhammed Shoaib,Rafia Tabassum,M. Ijaz Khan,Muhammed Asif Zahoor Raja,Samia Elattar,Sumaira Qayyum,Ahmed Galal +6 more
TL;DR: In this article , the authors explored the entropy generation in the Flow of Jeffery Nanomaterial Model (EFJNM) past a variable thicked surface by considering joule heating effect, convectively heated surface, nonlinear radiative heat flux, and convective boundary conditions via Artificial Back Propagated Levenberg Marquardt Neural Networks (ABP-LMNNs).
References
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Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study.
Hana Štorkánová,Sabína Oreská,Maja Špiritović,B. Heřmánková,Kristýna Bubová,Martin Komarc,Karel Pavelka,Jiří Vencovský,Jörg H W Distler,Ladislav Šenolt,Radim Bečvář,Michal Tomcik +11 more
TL;DR: In this paper, the authors evaluated plasma heat shock protein (Hsp) 90 in the skin of patients with systemic sclerosis (SSc) and characterized its association with SSc-related features.
Journal ArticleDOI
Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting
Ayaz Hussain Bukhari,Muhammad Asif Zahoor Raja,Muhammad Sulaiman,Saeed Islam,Muhammad Shoaib,Poom Kumam +5 more
TL;DR: A novel hybrid model with the strength of fractional order derivative is presented with their dynamical features of deep learning, long-short term memory (LSTM) networks, to predict the abrupt stochastic variation of the financial market.
Journal ArticleDOI
Impact of Binary Chemical Reaction and Activation Energy on Heat and Mass Transfer of Marangoni Driven Boundary Layer Flow of a Non-Newtonian Nanofluid
Ramanahalli Jayadevamurthy Punith Gowda,Rangaswamy Naveen Kumar,A. M. Jyothi,B. C. Prasannakumara,Ioannis E. Sarris +4 more
TL;DR: In this paper, the steady Marangoni driven boundary layer flow, heat and mass transfer characteristics of a nanofluid were studied using the Runge-Kutta-Fehlberg fourth-fifth order (RKF-45) method.
Journal ArticleDOI
Entropy optimized MHD 3D nanomaterial of non-Newtonian fluid: A combined approach to good absorber of solar energy and intensification of heat transport
TL;DR: The present investigation shows that strengthening of Weissenberg number uplifts the axial as well transverse fluid velocities while that of Hartmann number turns out to be a reverse trend, which imparts a reasonable, pragmatic and realistic approach to a good absorber of solar energy.
Journal ArticleDOI
Dual solutions for mixed convection flow of SiO2−Al2O3/water hybrid nanofluid near the stagnation point over a curved surface
TL;DR: In this paper, the results of steady mixed convection flow of SiO 2 − Al 2 O 3 /water hybrid nanofluid near the stagnation point with the curved surface of radius R and mass suction S.