In a suspension of tangent hyperbolic bionanofluid keeping both nanoparticles and motile microorganisms, the thermobioconvective boundary layer flow was studied through an exponentially stretching surface utilizing response methodology (RSM). The constructed model nanofluid in is with implications thermophoresis Brownian motion. Condition zero normal flux nanomaterials added at to scatter from plate surface. rate heat transfer analyzed using convective condition. Numerical shooting strategy...

Abstract In this study, an artificial neural network (ANN) has been developed to predict the boundary layer flow of a single‐walled carbon nanotubes nanofluid toward three different nonlinear thin isothermal needles paraboloid, cone, and cylinder shapes with convective conditions. Different effects particle diameter solid–fluid interface coating have taken into account in thermal conductivity model which ethylene glycol used as base fluid. Single dual phase approach is establish management...

In current investigation, a novel implementation of intelligent numerical computing solver based on multi-layer perceptron (MLP) feed-forward back-propagation artificial neural networks (ANN) with the Levenberg-Marquard algorithm is provided to interpret heat generation/absorption and radiation phenomenon in unsteady electrically conducting Williamson liquid flow along porous stretching surface. Heat investigated by taking convective boundary condition both velocity thermal slip phenomena....

Abstract This article presents the implementation of a numerical solution bioconvective nanofluid flow. The boundary layer flow (BLF) towards vertical exponentially stretching plate with combination heat and mass transfer rate in tangent hyperbolic containing microorganisms. We have introduced zero flux condition to achieve physically realistic outcomes. Analysis is conducted magnetic field phenomenon. By using similarity variables, partial differential equation which governs said model was...

In this article, the unsteady boundary layer flow of an incompressible Williamson fluid over a permeable radiative stretched surface. Both electric and magnetic fields are taken into account. The nonlinear system ordinary differential equations obtained through suitable transformations then solved statistically analytically. Influence physical on velocity temperature graphically analyzed. expressions skin friction coefficient local Nusselt number presented examined numerically. Correlation...

Abstract The current research explores incremental effect of thermal radiation on heat transfer improvement corresponds to Darcy–Forchheimer (DF) flow carbon nanotubes along a stretched rotating surface using RSM. Casson nanotubes’ constructed model in boundary layer is being investigated with implications both single-walled CNTs and multi-walled CNTs. Water Ethylene glycol are considered basic fluid. rate scrutinized via convective condition. Outcomes observed evaluated for SWCNTs MWCNTs....

Abstract In reliability research, electronic devices are an important part of our lives and modelling their is the most difficult fascinating area. To investigate failure functioning equipments, monitoring systems widely used. However, it stated in literature that one five system collapses a consequence degradation saving energy forecasting future losses, necessary to summarize data through certain versatile models probability . current article, model formed on inverse power law generalized...

In cases when high velocity occurs, non-Darcy phenomena are essential for explaining fluid motion in porous media and have wide range of applications. The present study displays the magnetohydrodynamic (MHD) squeezing flow through a non-Darcian medium towards stretched permeable surface. heat mass procedures investigated using convective conditions nonlinear stratification. radiation viscous dissipation implemented to enhance transfer. simplified equations evaluated numerical Runge-Kutta...

Since the previous two years, a new coronavirus (COVID-19) has found major global problem. The speedy pathogen over globe was followed by shockingly large number of afflicted people and gradual increase in deaths. If survival analysis active individuals can be predicted, it will help to contain epidemic significantly any area. In medical diagnosis, prognosis analysis, neural networks have been as successful general nonlinear models. this study, real application developed for estimating...

In recent years, statisticians have become more and interested in the study of mixture models, especially last decade, without adequately considering difficulty modeling reliability measures models using artificial neural networks. this study, which networks mixed model criteria are analyzed, various parameters calculated different scenarios. order to estimate obtained numerical parameters, a multilayer network has been developed. Seven parameter values from designed with four input...

Abstract Modern industries face a new challenge in cooling processes. Traditional lubricants have limited heatconducting capacity. The development of nanofluids possessing superior properties such as high thermal conductivity, homogeneity, and long‐term stability has revolutionized the lubrication industry. literature reports wide range applications nanofluid, devices, peristaltic pumps for diabetic treatments, accelerators, reactors, petroleum industry applications, solar collectors so...

The core objective of this research is to describe the behavior distribution using MLE method estimate its parameters, as well determine optimal Artificial Neural Network by comparing it maximum likelihood estimation and applying real data for breast cancer patients survival, risk, other survival study functions log-logistic distribution. parameters were defined in input layer artificial neural network developed purpose analysis reliability function, hazard rate probability density reserved...

In explaining and forecasting real life scenarios, statistical distributions are very helpful. It is important to select the best fitting distribution for modelling data. analysis of world phenomena like in reliability economics, we may finddistributions bounded data observed as percentages, proportions or fractions (see, example, Marshall Olkin (2007)). this context, view pertinent transformation on Gumbel Type-II model, suggest study unit (UG-TII)model explore few its characteristics. We...

Arthritis is the tenderness and swelling of one or more joints. therapies are directed mainly at reducing symptoms improving quality life. In this article, we introduced a novel four parametric model known as generalized exponentiated unit Gompertz (GEUG) for modeling clinical trial data which represent relief relaxing times arthritic patients receiving fixed dosage certain medication. The key feature such addition new tuning parameters to (UG) with intention increasing versatility UG model....

Nanoparticles are carried in bioconvective fluid flow by convective motion caused living tissues. This has important applications cell and tissue engineering because it demonstrates the mechanics of particle transfer between cells fluids. type is used medicine delivery systems that particularly target cancer real life. Nanofluids crucial suspensions allow nanomaterials to disperse behave a homogeneous stable environment. The second-grade nanofluid flow, on other hand, distinguished more...

The study is about a novel Arcsin-function based generator of new families distributions. We chose the inverse Weibull distribution as reference to see if could be employed. This helps for developing called Arcsin Weibull. main features suggested have been taken into account. Some indicators used in this class include density function, complete and incomplete moments, average deviation, aging indicators. model's parameters are determined using maximum likelihood method both simulations data...