Wubshet Ibrahim - Academia.edu (original) (raw)

Papers by Wubshet Ibrahim

Research paper thumbnail of Mixed Convection Heat Transfer of a Hybrid Nanofluid in a Trapezoidal Prism with an Adiabatic Circular Cylinder

Mathematical Problems in Engineering

This communication presents the mixed convection flow of hybrid nanofluid flow in a trapezoidal p... more This communication presents the mixed convection flow of hybrid nanofluid flow in a trapezoidal prism cavity. The cavity contains an adiabatic circular cylinder filled with A g − M g O water hybrid nanofluid. The top surface of a prism cavity is heated to a uniform temperature of T h , and the bottom surface of the prism is cooled to a temperature of T c . The other surfaces of a prism are thermally insulated. The equations governing the flow problem are obtained using conservation principles and nondimensionalized with the help of nondimensional variables. Then, with the help of the Galerkin finite element method algorithm embedded in COMSOL Multiphysics® software, the numerical simulation was performed. The streamlines and isotherms on the surfaces of the cavity have been plotted and thoroughly discussed. The results reveal that buoyant convection distorts the isothermal fields as the Richardson number increases, so does fluid flow penetration in the cavity. The results also revea...

Research paper thumbnail of Optimization of Pesticides Spray on Crops in Agriculture using Machine Learning

Computational Intelligence and Neuroscience

Pesticides are chemicals used to eradicate pests. Not only are they used for plant protection and... more Pesticides are chemicals used to eradicate pests. Not only are they used for plant protection and livestock in agriculture, but they are also used in public areas to kill mosquitoes, cockroaches, and other pests. Approximately 95% of the pesticides produced are only used in agriculture for crop protection. Every country wants to increase crop production. To protect their crops from pests, farmers must use pesticides. Exposure to pesticides is increasing day by day, whether occupationally or environmentally. This has resulted in an increase in crop production, but it has numerous adverse effects on human health, animal health, and the environment. Farmers repeatedly use the same pesticides on their crops, which is detrimental to human health and the environment. In this research, according to authors, the repetition of pesticides in agriculture is controlled using adjuvant and machine learning algorithms. An adjuvant is a chemical agent that is inserted within the pesticide product f...

Research paper thumbnail of A Machine Learning and Deep Learning Approach for Recognizing Handwritten Digits

Computational Intelligence and Neuroscience

Optical character recognition (OCR) can be a subcategory of graphic design that involves extracti... more Optical character recognition (OCR) can be a subcategory of graphic design that involves extracting text from images or scanned documents. We have chosen to make unique handwritten digits available on the Modified National Institute of Standards and Technology website for this project. The Machine Learning and Depp Learning algorithms are used in this project to measure the accuracy of handwritten displays of letters and numbers. Also, we show the classification accuracy comparison between them. The results showed that the CNN classifier achieved the highest classification accuracy of 98.83%.

Research paper thumbnail of Personality Prediction with Hybrid Genetic Programming using Portable EEG Device

Computational Intelligence and Neuroscience

This work suggests a method to identify personality traits regarding the targeted film clips in r... more This work suggests a method to identify personality traits regarding the targeted film clips in real-time. Such film clips elicit feelings in people while capturing their brain impulses using the electroencephalogram (EEG) devices and examining personality traits. The Myers–Briggs Type Indicator (MBTI) paradigm for determining personality is employed in this study. The fast Fourier transform (FFT) approach is used for feature extraction, and we have used hybrid genetic programming (HGP) for EEG data classification. We used a single-channel NeuroSky MindWave 2 dry electrode unit to obtain the EEG data. In order to collect the data, thirty Hindi and English video clips were placed in a conventional database. Fifty people volunteered to participate in this study and willingly provided brain signals. Using this dataset, we have generated four two-class HGP classifiers (HGP1, HGP2, HGP3, and HGP4), one for each group of MBTI traits overall classification accuracy of the HGP classifier as...

Research paper thumbnail of Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal

Journal of Healthcare Engineering, 2022

The COVID-19 has resulted in one of the world’s most significant worldwide lock-downs, affecting ... more The COVID-19 has resulted in one of the world’s most significant worldwide lock-downs, affecting human mental health. Therefore, emotion recognition is becoming one of the essential research areas among various world researchers. Treatment that is efficacious and diagnosed early for negative emotions is the only way to save people from mental health problems. Genetic programming, a very important research area of artificial intelligence, proves its potential in almost every field. Therefore, in this study, a genetic program-based feature selection (FSGP) technique is proposed. A fourteen-channel EEG device gives 70 features for the input brain signal; with the help of GP, all the irrelevant and redundant features are separated, and 32 relevant features are selected. The proposed model achieves a classification accuracy of 85% that outmatches other prior works.

Research paper thumbnail of Entropy generation analysis of three dimensional mixed convection flow of couple stress nanofluid with non-Fourier’s heat and non-Fick’s mass flux model

Alexandria Engineering Journal, 2022

Research paper thumbnail of Analysis of flow of visco-elastic nanofluid with third order slips flow condition, Cattaneo-Christov heat and mass diffusion model

Propulsion and Power Research, 2021

Abstract This communication reports, the flow of viscoelastic nanofluid with third order slip flo... more Abstract This communication reports, the flow of viscoelastic nanofluid with third order slip flow condition, Cattaneo-Christov heat and mass diffusion model. The joined non-linear ordinary differential equations (ODEs) were acquired from the partial differential equations, which are resulting from conservation of momentum, energy and species. By means of similarity transformations these ODEs were alerted into dimensionless form and solved numerically by means of bvp4c solver. The effects of different parameters on velocity, temperature, and concentration profiles were examined and discussed in depth by means of graphs and tables. The outcomes indicate that the velocity profile along both x and y directions augment with higher values of viscoelastic parameter. The results also confirm that an increment in the values of ratio parameter tends to grow up the velocity profile alongside y-direction. However, the velocity profile along x-direction slows down with increment in the value of third order slip parameter. Also, the results illustrate that diminution in temperature is observed for higher Sc in the region of boundary layer. Besides, both temperature and concentration can be improved via higher Biot number. The upshots also portrayed that the local skin friction coefficient augmented within mounting values of viscoelastic fluid parameter. Furthermore, for finer values of Biot number both local Nusselt number and the local Sherwood number are enlarged. In addition, the most favorable agreement is observed among the results of the present study and those of the earlier studies.

Research paper thumbnail of Thin Film Flow of Tangent Hyperbolic Fluid with Nonlinear Mixed Convection Flow and Entropy Generation

Mathematical Problems in Engineering, 2021

This paper examined the three-dimensional steady thin film flow of tangent hyperbolic fluid with ... more This paper examined the three-dimensional steady thin film flow of tangent hyperbolic fluid with nonlinear mixed convection flow and entropy generation past a stretching surface under the influence of magnetic field. For the flow problem, the Cattaneo–Christov heat and mass diffusion model was employed to examine heat and mass transfer characteristics and impacts of the normally directed magnetic field. To transform nonlinear PDEs into ODEs, the variable transformation technique was used. The bvp4c algorithm was implemented to solve these ODEs. The behavior of every leading parameter on the velocities, temperature, concentration profile, entropy generation, and Bejan number was reported with tabular and figurative form. The results show that as the values of Br increase, the entropy generation enhances, but the Bejan number decreases. Moreover, as the values of B increase, the opposite characteristics are observed in entropy generation and Bejan number graphs. Furthermore, the skin ...

Research paper thumbnail of EEG-Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model

Computational Intelligence and Neuroscience, 2021

In this paper, a deep long short term memory (DeepLSTM) network to classify personality traits us... more In this paper, a deep long short term memory (DeepLSTM) network to classify personality traits using the electroencephalogram (EEG) signals is implemented. For this research, the Myers–Briggs Type Indicator (MBTI) model for predicting personality is used. There are four groups in MBTI, and each group consists of two traits versus each other; i.e., out of these two traits, every individual will have one personality trait in them. We have collected EEG data using a single NeuroSky MindWave Mobile 2 dry electrode unit. For data collection, 40 Hindi and English video clips were included in a standard database. All clips provoke various emotions, and data collection is focused on these emotions, as the clips include targeted, inductive scenes of personality. Fifty participants engaged in this research and willingly agreed to provide brain signals. We compared the performance of our deep learning DeepLSTM model with other state-of-the-art-based machine learning classifiers such as artific...

Research paper thumbnail of Finite element method solution of mixed convection flow of Williamson nanofluid past a radially stretching sheet

Heat Transfer, 2019

This computation reports the mixed convection flow of Williamson fluid past a radially stretching... more This computation reports the mixed convection flow of Williamson fluid past a radially stretching surface with nanoparticles under the effect of first‐order slip and convective boundary conditions. The coupled nonlinear ordinary differential equations (ODEs) are obtained from the partial differential equations, which are derived from the conservation of momentum, energy, and species. Then, utilizing suitable resemblance transformation, these ODEs were changed into dimensionless form and then solved numerically by means of a powerful numerical technique called the Galerkin finite element method. The effect of different parameters on velocity, temperature, and concentration profiles is inspected and thrashed out in depth by graphs and tables. The upshots exhibit that the velocity profile augments as the values of concentration buoyancy and mixed convection parameters are engorged. Also, the results demonstrated that both temperature and concentration profiles are improved with an enhancement in values of thermophoresis parameters. The outcomes also indicate that for finer values of magnetic field parameter and thermophoresis parameter, the numerical value of local Nusselt and Sherwood numbers is reduced.

Research paper thumbnail of Nonlinear mixed convection flow of a tangent hyperbolic fluid with activation energy

Heat Transfer, 2020

In this communication, the dynamics of a non-Newtonian tangent hyperbolic fluid with nanoparticle... more In this communication, the dynamics of a non-Newtonian tangent hyperbolic fluid with nanoparticles past a nonuniformly thickened stretching surface is discussed. We examine the impact of nonlinear mixed convection flow of a hyperbolic tangent fluid with the Cattaneo-Christov heat and mass diffusion model past a bidirectional stretching surface. The effects of activation energy and magnetic field are incorporated in the analysis. The variables of transformations are used to change the nonlinear partial differential equations into ordinary differential equations (ODEs). Then, these ODEs are numerically solved using the Matlab routine of the bvp4c algorithm. The derailed analysis of the influences of the governing parameters on velocities along the x-and y-axes, temperature and concentration profiles are presented using tables and figures. The outcomes of these parameters reveal that the velocities along the x-and y-axes are decreased for the values of We increasing but the opposite behavior is observed as the value of A increases. The results also show that the values of e and Nb rise as the temperature profiles increase. Similar influences are observed on the profile of concentration as the values of F and f rise. As the values of N1 go from 0.27 to 0.25, the skin-friction coefficient increases, and similarly, as Nb goes from 0.3 to 0.1, θ − ′(0) is enhanced.

Research paper thumbnail of Wavelets based physics informed neural networks to solve non-linear differential equations

Scientific Reports

In this study, the applicability of physics informed neural networks using wavelets as an activat... more In this study, the applicability of physics informed neural networks using wavelets as an activation function is discussed to solve non-linear differential equations. One of the prominent equations arising in fluid dynamics namely Blasius viscous flow problem is solved. A linear coupled differential equation, a non-linear coupled differential equation, and partial differential equations are also solved in order to demonstrate the method’s versatility. As the neural network’s optimum design is important and is problem-specific, the influence of some of the key factors on the model’s accuracy is also investigated. To confirm the approach’s efficacy, the outcomes of the suggested method were compared with those of the existing approaches. The suggested method was observed to be both efficient and accurate.

Research paper thumbnail of Soft computing and statistical approach for sensitivity analysis of heat transfer through the hybrid nanoliquid film in rotating heat pipe

Scientific Reports

In this paper, the numerical solution for heat transfer through a rotating heat pipe is studied a... more In this paper, the numerical solution for heat transfer through a rotating heat pipe is studied and a sensitivity analysis is presented by using statistical experimental design technique. Graphene oxide-molybdenum disulfide (GO-MoS2) hybrid nanofluid is taken as working fluid inside the pipe. The impact of the heat pipe parameters (rotation speed, initial mass, temperature difference) on the heat transfer and liquid film thickness is investigated. The mathematical model coupling the fluid mass flow rate and liquid film evolution equations in evaporator, adiabatic, and condenser zones of the heat pipe is constructed. The mathematical model is solved by implementation of “Particle Swarm Optimization” along with the finite difference method. The outcomes demonstrate that hybrid nanoparticles help to improve the heat transfer through the heat pipe and reduce liquid film thickness. The heat transfer rises with increasing temperature difference and reducing inlet mass, and it reduces slig...

Research paper thumbnail of Effects of Second-Order Slip Flow and Variable Viscosity on Natural Convection Flow of CNTs − Fe 3 O 4 /Water Hybrid Nanofluids due to Stretching Surface

Mathematical Problems in Engineering, 2021

This study deals with natural convection unsteady flow of CNTs − Fe 3 O 4 /water hybrid nanofluid... more This study deals with natural convection unsteady flow of CNTs − Fe 3 O 4 /water hybrid nanofluids due to stretching surface embedded in a porous medium. Both hybrid nanoparticles of SWCNTs − Fe 3 O 4 and MWCNTs − Fe 3 O 4 are used with water as base fluid. Effects of hybrid nanoparticles volume friction, second-order velocity slip condition, and temperature-dependent viscosity are investigated. The governing problem of flow is solved numerically employing spectral quasilinearization method (SQLM). The results are presented and discussed via embedded parameters using graphs and tables. The results disclose that the thermal conductivity of CNTs − Fe 3 O 4 / H 2 O hybrid nanofluids is higher than that of CNTs − H 2 O nanofluids with higher value of hybrid nanoparticle volume fraction. Also, the results show that momentum boundary layer reduces while the thermal boundary layer gros with higher values of temperature-dependent viscosity and second-order velocity slip parameters. The skin...

Research paper thumbnail of Finite element analysis of mixed convection flow in a trapezoidal cavity with non-uniform temperature

Heliyon, 2021

A two dimensional flow analysis in a cavity shaped isosceles trapezium is carried out. Non-parall... more A two dimensional flow analysis in a cavity shaped isosceles trapezium is carried out. Non-parallel sides of a trapezium are adiabatic. A varying sinusoidal temperature is applied to the lower wall while the upper wall is at constant temperature. Upper wall of the cavity moves with a velocity 0 in the positive x-direction. Also, 0 is constant magnetic field of strength aligned in the same x-direction and Newtonian fluid is considered. The values of magnetic field parameter used are = 0, 50, the Richardson number is = 0.1, 1, 10, = 100 is Reynolds number used for the analysis, the amplitude of sinusoidal temperature is = 0.25, 0.5, 1. The impacts of different leading parameters are analyzed by plotting streamlines for flow fields and isotherm contours for temperature of the flow dynamics. The graphs that signify the variation of average Nusselt number and local Nusselt number are sketched for both lower and upper walls of the cavity. Result indicated that with constant temperature the top wall of the boundary layer thickness decreases as Richardson number Ri increases and for bottom wall with variable temperature. The Nusselt number gets higher with an increment in the amplitude of the oscillation of temperature function. Furthermore, the study revealed that the average Nusselt number gets reduced as the intensity of magnetic field is enhanced. The variation in transit of heat at the bottom wall is similar but the maximum value of heat transfer at the bottom wall shows a variation from 3.8 to 20 when = 0 and from 3 to 18 when = 50. The accuracy of the present numerical algorithms is also established.

Research paper thumbnail of Melting and viscous dissipation effect on upper‐convected Maxwell and Williamson nanofluid

Engineering Reports, 2020

This article mainly addresses the influence of the viscous dissipation, melting, and chemical rea... more This article mainly addresses the influence of the viscous dissipation, melting, and chemical reaction on Williamson and Maxwell nanofluids over a stretching sheet embedded in porous media. The system of partial differential equations which is obtained by conservation principles, is transformed by means of an appropriate similarity transformation into a system of ordinary differential equations. The numerical results are obtained by employing the Keller box method. The impacts of different germane parameters on velocity profiles, thermal and concentration fields, Nusselt number, skin friction coefficient, and Sherwood number are selected by means of graphical and tabular representations. Our numerical solution detects that the dimensionless melting parameter highly affects the velocity boundary layer of a Williamson nanofluid when compared with an upper-convected Maxwell nanofluid. Moreover, the velocity, temperature, and concentration distributions decrease for both fluids when the permeability parameter increases. Furthermore, the temperature distribution increases with an increase of the Eckert number. K E Y W O R D S chemical reaction, melting heat transfer, porous media, upper-convected Maxwell fluid, viscous dissipation, Williamson fluid This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Research paper thumbnail of Double Stratified Mixed Convective Flow of Couple Stress Nanofluid past Inclined Stretching Cylinder Using Cattaneo-Christov Heat and Mass Flux Model

Advances in Mathematical Physics, 2020

In this exploration, a double stratified mixed convective flow of couple stress nanofluid past an... more In this exploration, a double stratified mixed convective flow of couple stress nanofluid past an inclined stretching cylinder using a Cattaneo-Christov heat and mass flux model is considered. The governing partial differential equation of the boundary layer flow region is reduced to its corresponding ordinary differential equation using a similarity transformation technique. Then, the numerical method called the Galerkin finite element method (GFEM) is applied to solve the proposed fluid model. We performed a grid-invariance test or grid-convergence test to confirm the convergence of the series solution. The effects of the different noteworthy variables on velocity, temperature, concentration, local skin friction, local Nusselt number, and local Sherwood number are analyzed in both graphical and tabular forms. We have compared our result with the existing results in the literature, and it is shown that GFEM is accurate and efficient. Moreover, our result shows that the velocity fie...

Research paper thumbnail of MHD Nonlinear Mixed Convection Flow of Micropolar Nanofluid over Nonisothermal Sphere

Mathematical Problems in Engineering, 2020

In this paper, two-dimensional steady laminar boundary layer flow of a nonlinear mixed convection... more In this paper, two-dimensional steady laminar boundary layer flow of a nonlinear mixed convection flow of micropolar nanofluid with Soret and magnetic field effect over a nonisothermal sphere is evaluated. The mathematical formulation for the flow problem has been made with appropriate similarity transformation and dimensionless variables, and the main nonlinear boundary value problems were reduced into mixed high-order nonlinear ordinary differential equations. Solution for velocity, microrotation, temperature, and concentration has been obtained numerically. The equations were calculated using method bvp4c from Matlab software for various quantities of main parameters. The effects of various parameters on skin friction coefficient f″0, wall duo stress coefficient -G′0, and convection mass transfer coefficient -Φ′0 are analysed and presented through the graphs and tables. The convergence test has been maintained. For the number of points greater than the suitable mesh number of poi...

Research paper thumbnail of Nonlinear Convection Flow of Micropolar Nanofluid due to a Rotating Disk with Multiple Slip Flow

Mathematical Problems in Engineering, 2020

In this analysis, steady, laminar, and two-dimensional boundary layer flow of nonlinear convectio... more In this analysis, steady, laminar, and two-dimensional boundary layer flow of nonlinear convection micropolar nanofluid due to a rotating disk is considered. The mathematical formulation for the flow problem has been made. By means of appropriate similarity transformation and dimensionless variables, the governing nonlinear boundary value problems were reduced into coupled high-order nonlinear ordinary differential equations with numerically solved. The equations were calculated using method bvp4c from matlab software for various quantities of main parameters. The influences of different parameters on skin friction coefficients f″0 and G′0, wall duo stress coefficients H1′0, -H2′0, and -H3′0, the Nusselt number -θ′0, and Sherwood number Ω′0, as well as the velocities, temperature, and concentration are analysed and discussed through tables and plotted graphs. The findings indicate that an increase in the values of thermal and solutal nonlinear convection parameters allow to increase...

Research paper thumbnail of MHD Slip Flow of CNT-Ethylene Glycol Nanofluid due to a Stretchable Rotating Disk with Cattaneo–Christov Heat Flux Model

Mathematical Problems in Engineering, 2020

This article deals with carbon nanoliquid flow due to stretchable rotating disk with the effect o... more This article deals with carbon nanoliquid flow due to stretchable rotating disk with the effect of Cattaneo–Christov heat flux model. Both SWCNTs and MWCNTs are considered with ethylene glycol as the base fluid. The effects of nanoparticle volume friction, normally applied magnetic field, stretching factor, velocity, and thermal slip factors are examined. The fundamental flow governing equations are transformed into dimensionless system of coupled nonlinear ordinary differential equations, and they are solved numerically using spectral quasi-linearization method (SQLM). Employing graphs and tables, the results of velocity and temperature fields as well as skin friction coefficient and local heat transfer rate are analyzed and presented via embedded parameters. The results reveal that higher velocity fields and lower temperature fields are noticed in the MWCNT nanofluids than SWCNT nanofluids. The higher incidence of magnetic field improves the thermal boundary layer thickness. A gro...

Research paper thumbnail of Mixed Convection Heat Transfer of a Hybrid Nanofluid in a Trapezoidal Prism with an Adiabatic Circular Cylinder

Mathematical Problems in Engineering

This communication presents the mixed convection flow of hybrid nanofluid flow in a trapezoidal p... more This communication presents the mixed convection flow of hybrid nanofluid flow in a trapezoidal prism cavity. The cavity contains an adiabatic circular cylinder filled with A g − M g O water hybrid nanofluid. The top surface of a prism cavity is heated to a uniform temperature of T h , and the bottom surface of the prism is cooled to a temperature of T c . The other surfaces of a prism are thermally insulated. The equations governing the flow problem are obtained using conservation principles and nondimensionalized with the help of nondimensional variables. Then, with the help of the Galerkin finite element method algorithm embedded in COMSOL Multiphysics® software, the numerical simulation was performed. The streamlines and isotherms on the surfaces of the cavity have been plotted and thoroughly discussed. The results reveal that buoyant convection distorts the isothermal fields as the Richardson number increases, so does fluid flow penetration in the cavity. The results also revea...

Research paper thumbnail of Optimization of Pesticides Spray on Crops in Agriculture using Machine Learning

Computational Intelligence and Neuroscience

Pesticides are chemicals used to eradicate pests. Not only are they used for plant protection and... more Pesticides are chemicals used to eradicate pests. Not only are they used for plant protection and livestock in agriculture, but they are also used in public areas to kill mosquitoes, cockroaches, and other pests. Approximately 95% of the pesticides produced are only used in agriculture for crop protection. Every country wants to increase crop production. To protect their crops from pests, farmers must use pesticides. Exposure to pesticides is increasing day by day, whether occupationally or environmentally. This has resulted in an increase in crop production, but it has numerous adverse effects on human health, animal health, and the environment. Farmers repeatedly use the same pesticides on their crops, which is detrimental to human health and the environment. In this research, according to authors, the repetition of pesticides in agriculture is controlled using adjuvant and machine learning algorithms. An adjuvant is a chemical agent that is inserted within the pesticide product f...

Research paper thumbnail of A Machine Learning and Deep Learning Approach for Recognizing Handwritten Digits

Computational Intelligence and Neuroscience

Optical character recognition (OCR) can be a subcategory of graphic design that involves extracti... more Optical character recognition (OCR) can be a subcategory of graphic design that involves extracting text from images or scanned documents. We have chosen to make unique handwritten digits available on the Modified National Institute of Standards and Technology website for this project. The Machine Learning and Depp Learning algorithms are used in this project to measure the accuracy of handwritten displays of letters and numbers. Also, we show the classification accuracy comparison between them. The results showed that the CNN classifier achieved the highest classification accuracy of 98.83%.

Research paper thumbnail of Personality Prediction with Hybrid Genetic Programming using Portable EEG Device

Computational Intelligence and Neuroscience

This work suggests a method to identify personality traits regarding the targeted film clips in r... more This work suggests a method to identify personality traits regarding the targeted film clips in real-time. Such film clips elicit feelings in people while capturing their brain impulses using the electroencephalogram (EEG) devices and examining personality traits. The Myers–Briggs Type Indicator (MBTI) paradigm for determining personality is employed in this study. The fast Fourier transform (FFT) approach is used for feature extraction, and we have used hybrid genetic programming (HGP) for EEG data classification. We used a single-channel NeuroSky MindWave 2 dry electrode unit to obtain the EEG data. In order to collect the data, thirty Hindi and English video clips were placed in a conventional database. Fifty people volunteered to participate in this study and willingly provided brain signals. Using this dataset, we have generated four two-class HGP classifiers (HGP1, HGP2, HGP3, and HGP4), one for each group of MBTI traits overall classification accuracy of the HGP classifier as...

Research paper thumbnail of Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal

Journal of Healthcare Engineering, 2022

The COVID-19 has resulted in one of the world’s most significant worldwide lock-downs, affecting ... more The COVID-19 has resulted in one of the world’s most significant worldwide lock-downs, affecting human mental health. Therefore, emotion recognition is becoming one of the essential research areas among various world researchers. Treatment that is efficacious and diagnosed early for negative emotions is the only way to save people from mental health problems. Genetic programming, a very important research area of artificial intelligence, proves its potential in almost every field. Therefore, in this study, a genetic program-based feature selection (FSGP) technique is proposed. A fourteen-channel EEG device gives 70 features for the input brain signal; with the help of GP, all the irrelevant and redundant features are separated, and 32 relevant features are selected. The proposed model achieves a classification accuracy of 85% that outmatches other prior works.

Research paper thumbnail of Entropy generation analysis of three dimensional mixed convection flow of couple stress nanofluid with non-Fourier’s heat and non-Fick’s mass flux model

Alexandria Engineering Journal, 2022

Research paper thumbnail of Analysis of flow of visco-elastic nanofluid with third order slips flow condition, Cattaneo-Christov heat and mass diffusion model

Propulsion and Power Research, 2021

Abstract This communication reports, the flow of viscoelastic nanofluid with third order slip flo... more Abstract This communication reports, the flow of viscoelastic nanofluid with third order slip flow condition, Cattaneo-Christov heat and mass diffusion model. The joined non-linear ordinary differential equations (ODEs) were acquired from the partial differential equations, which are resulting from conservation of momentum, energy and species. By means of similarity transformations these ODEs were alerted into dimensionless form and solved numerically by means of bvp4c solver. The effects of different parameters on velocity, temperature, and concentration profiles were examined and discussed in depth by means of graphs and tables. The outcomes indicate that the velocity profile along both x and y directions augment with higher values of viscoelastic parameter. The results also confirm that an increment in the values of ratio parameter tends to grow up the velocity profile alongside y-direction. However, the velocity profile along x-direction slows down with increment in the value of third order slip parameter. Also, the results illustrate that diminution in temperature is observed for higher Sc in the region of boundary layer. Besides, both temperature and concentration can be improved via higher Biot number. The upshots also portrayed that the local skin friction coefficient augmented within mounting values of viscoelastic fluid parameter. Furthermore, for finer values of Biot number both local Nusselt number and the local Sherwood number are enlarged. In addition, the most favorable agreement is observed among the results of the present study and those of the earlier studies.

Research paper thumbnail of Thin Film Flow of Tangent Hyperbolic Fluid with Nonlinear Mixed Convection Flow and Entropy Generation

Mathematical Problems in Engineering, 2021

This paper examined the three-dimensional steady thin film flow of tangent hyperbolic fluid with ... more This paper examined the three-dimensional steady thin film flow of tangent hyperbolic fluid with nonlinear mixed convection flow and entropy generation past a stretching surface under the influence of magnetic field. For the flow problem, the Cattaneo–Christov heat and mass diffusion model was employed to examine heat and mass transfer characteristics and impacts of the normally directed magnetic field. To transform nonlinear PDEs into ODEs, the variable transformation technique was used. The bvp4c algorithm was implemented to solve these ODEs. The behavior of every leading parameter on the velocities, temperature, concentration profile, entropy generation, and Bejan number was reported with tabular and figurative form. The results show that as the values of Br increase, the entropy generation enhances, but the Bejan number decreases. Moreover, as the values of B increase, the opposite characteristics are observed in entropy generation and Bejan number graphs. Furthermore, the skin ...

Research paper thumbnail of EEG-Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model

Computational Intelligence and Neuroscience, 2021

In this paper, a deep long short term memory (DeepLSTM) network to classify personality traits us... more In this paper, a deep long short term memory (DeepLSTM) network to classify personality traits using the electroencephalogram (EEG) signals is implemented. For this research, the Myers–Briggs Type Indicator (MBTI) model for predicting personality is used. There are four groups in MBTI, and each group consists of two traits versus each other; i.e., out of these two traits, every individual will have one personality trait in them. We have collected EEG data using a single NeuroSky MindWave Mobile 2 dry electrode unit. For data collection, 40 Hindi and English video clips were included in a standard database. All clips provoke various emotions, and data collection is focused on these emotions, as the clips include targeted, inductive scenes of personality. Fifty participants engaged in this research and willingly agreed to provide brain signals. We compared the performance of our deep learning DeepLSTM model with other state-of-the-art-based machine learning classifiers such as artific...

Research paper thumbnail of Finite element method solution of mixed convection flow of Williamson nanofluid past a radially stretching sheet

Heat Transfer, 2019

This computation reports the mixed convection flow of Williamson fluid past a radially stretching... more This computation reports the mixed convection flow of Williamson fluid past a radially stretching surface with nanoparticles under the effect of first‐order slip and convective boundary conditions. The coupled nonlinear ordinary differential equations (ODEs) are obtained from the partial differential equations, which are derived from the conservation of momentum, energy, and species. Then, utilizing suitable resemblance transformation, these ODEs were changed into dimensionless form and then solved numerically by means of a powerful numerical technique called the Galerkin finite element method. The effect of different parameters on velocity, temperature, and concentration profiles is inspected and thrashed out in depth by graphs and tables. The upshots exhibit that the velocity profile augments as the values of concentration buoyancy and mixed convection parameters are engorged. Also, the results demonstrated that both temperature and concentration profiles are improved with an enhancement in values of thermophoresis parameters. The outcomes also indicate that for finer values of magnetic field parameter and thermophoresis parameter, the numerical value of local Nusselt and Sherwood numbers is reduced.

Research paper thumbnail of Nonlinear mixed convection flow of a tangent hyperbolic fluid with activation energy

Heat Transfer, 2020

In this communication, the dynamics of a non-Newtonian tangent hyperbolic fluid with nanoparticle... more In this communication, the dynamics of a non-Newtonian tangent hyperbolic fluid with nanoparticles past a nonuniformly thickened stretching surface is discussed. We examine the impact of nonlinear mixed convection flow of a hyperbolic tangent fluid with the Cattaneo-Christov heat and mass diffusion model past a bidirectional stretching surface. The effects of activation energy and magnetic field are incorporated in the analysis. The variables of transformations are used to change the nonlinear partial differential equations into ordinary differential equations (ODEs). Then, these ODEs are numerically solved using the Matlab routine of the bvp4c algorithm. The derailed analysis of the influences of the governing parameters on velocities along the x-and y-axes, temperature and concentration profiles are presented using tables and figures. The outcomes of these parameters reveal that the velocities along the x-and y-axes are decreased for the values of We increasing but the opposite behavior is observed as the value of A increases. The results also show that the values of e and Nb rise as the temperature profiles increase. Similar influences are observed on the profile of concentration as the values of F and f rise. As the values of N1 go from 0.27 to 0.25, the skin-friction coefficient increases, and similarly, as Nb goes from 0.3 to 0.1, θ − ′(0) is enhanced.

Research paper thumbnail of Wavelets based physics informed neural networks to solve non-linear differential equations

Scientific Reports

In this study, the applicability of physics informed neural networks using wavelets as an activat... more In this study, the applicability of physics informed neural networks using wavelets as an activation function is discussed to solve non-linear differential equations. One of the prominent equations arising in fluid dynamics namely Blasius viscous flow problem is solved. A linear coupled differential equation, a non-linear coupled differential equation, and partial differential equations are also solved in order to demonstrate the method’s versatility. As the neural network’s optimum design is important and is problem-specific, the influence of some of the key factors on the model’s accuracy is also investigated. To confirm the approach’s efficacy, the outcomes of the suggested method were compared with those of the existing approaches. The suggested method was observed to be both efficient and accurate.

Research paper thumbnail of Soft computing and statistical approach for sensitivity analysis of heat transfer through the hybrid nanoliquid film in rotating heat pipe

Scientific Reports

In this paper, the numerical solution for heat transfer through a rotating heat pipe is studied a... more In this paper, the numerical solution for heat transfer through a rotating heat pipe is studied and a sensitivity analysis is presented by using statistical experimental design technique. Graphene oxide-molybdenum disulfide (GO-MoS2) hybrid nanofluid is taken as working fluid inside the pipe. The impact of the heat pipe parameters (rotation speed, initial mass, temperature difference) on the heat transfer and liquid film thickness is investigated. The mathematical model coupling the fluid mass flow rate and liquid film evolution equations in evaporator, adiabatic, and condenser zones of the heat pipe is constructed. The mathematical model is solved by implementation of “Particle Swarm Optimization” along with the finite difference method. The outcomes demonstrate that hybrid nanoparticles help to improve the heat transfer through the heat pipe and reduce liquid film thickness. The heat transfer rises with increasing temperature difference and reducing inlet mass, and it reduces slig...

Research paper thumbnail of Effects of Second-Order Slip Flow and Variable Viscosity on Natural Convection Flow of CNTs − Fe 3 O 4 /Water Hybrid Nanofluids due to Stretching Surface

Mathematical Problems in Engineering, 2021

This study deals with natural convection unsteady flow of CNTs − Fe 3 O 4 /water hybrid nanofluid... more This study deals with natural convection unsteady flow of CNTs − Fe 3 O 4 /water hybrid nanofluids due to stretching surface embedded in a porous medium. Both hybrid nanoparticles of SWCNTs − Fe 3 O 4 and MWCNTs − Fe 3 O 4 are used with water as base fluid. Effects of hybrid nanoparticles volume friction, second-order velocity slip condition, and temperature-dependent viscosity are investigated. The governing problem of flow is solved numerically employing spectral quasilinearization method (SQLM). The results are presented and discussed via embedded parameters using graphs and tables. The results disclose that the thermal conductivity of CNTs − Fe 3 O 4 / H 2 O hybrid nanofluids is higher than that of CNTs − H 2 O nanofluids with higher value of hybrid nanoparticle volume fraction. Also, the results show that momentum boundary layer reduces while the thermal boundary layer gros with higher values of temperature-dependent viscosity and second-order velocity slip parameters. The skin...

Research paper thumbnail of Finite element analysis of mixed convection flow in a trapezoidal cavity with non-uniform temperature

Heliyon, 2021

A two dimensional flow analysis in a cavity shaped isosceles trapezium is carried out. Non-parall... more A two dimensional flow analysis in a cavity shaped isosceles trapezium is carried out. Non-parallel sides of a trapezium are adiabatic. A varying sinusoidal temperature is applied to the lower wall while the upper wall is at constant temperature. Upper wall of the cavity moves with a velocity 0 in the positive x-direction. Also, 0 is constant magnetic field of strength aligned in the same x-direction and Newtonian fluid is considered. The values of magnetic field parameter used are = 0, 50, the Richardson number is = 0.1, 1, 10, = 100 is Reynolds number used for the analysis, the amplitude of sinusoidal temperature is = 0.25, 0.5, 1. The impacts of different leading parameters are analyzed by plotting streamlines for flow fields and isotherm contours for temperature of the flow dynamics. The graphs that signify the variation of average Nusselt number and local Nusselt number are sketched for both lower and upper walls of the cavity. Result indicated that with constant temperature the top wall of the boundary layer thickness decreases as Richardson number Ri increases and for bottom wall with variable temperature. The Nusselt number gets higher with an increment in the amplitude of the oscillation of temperature function. Furthermore, the study revealed that the average Nusselt number gets reduced as the intensity of magnetic field is enhanced. The variation in transit of heat at the bottom wall is similar but the maximum value of heat transfer at the bottom wall shows a variation from 3.8 to 20 when = 0 and from 3 to 18 when = 50. The accuracy of the present numerical algorithms is also established.

Research paper thumbnail of Melting and viscous dissipation effect on upper‐convected Maxwell and Williamson nanofluid

Engineering Reports, 2020

This article mainly addresses the influence of the viscous dissipation, melting, and chemical rea... more This article mainly addresses the influence of the viscous dissipation, melting, and chemical reaction on Williamson and Maxwell nanofluids over a stretching sheet embedded in porous media. The system of partial differential equations which is obtained by conservation principles, is transformed by means of an appropriate similarity transformation into a system of ordinary differential equations. The numerical results are obtained by employing the Keller box method. The impacts of different germane parameters on velocity profiles, thermal and concentration fields, Nusselt number, skin friction coefficient, and Sherwood number are selected by means of graphical and tabular representations. Our numerical solution detects that the dimensionless melting parameter highly affects the velocity boundary layer of a Williamson nanofluid when compared with an upper-convected Maxwell nanofluid. Moreover, the velocity, temperature, and concentration distributions decrease for both fluids when the permeability parameter increases. Furthermore, the temperature distribution increases with an increase of the Eckert number. K E Y W O R D S chemical reaction, melting heat transfer, porous media, upper-convected Maxwell fluid, viscous dissipation, Williamson fluid This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Research paper thumbnail of Double Stratified Mixed Convective Flow of Couple Stress Nanofluid past Inclined Stretching Cylinder Using Cattaneo-Christov Heat and Mass Flux Model

Advances in Mathematical Physics, 2020

In this exploration, a double stratified mixed convective flow of couple stress nanofluid past an... more In this exploration, a double stratified mixed convective flow of couple stress nanofluid past an inclined stretching cylinder using a Cattaneo-Christov heat and mass flux model is considered. The governing partial differential equation of the boundary layer flow region is reduced to its corresponding ordinary differential equation using a similarity transformation technique. Then, the numerical method called the Galerkin finite element method (GFEM) is applied to solve the proposed fluid model. We performed a grid-invariance test or grid-convergence test to confirm the convergence of the series solution. The effects of the different noteworthy variables on velocity, temperature, concentration, local skin friction, local Nusselt number, and local Sherwood number are analyzed in both graphical and tabular forms. We have compared our result with the existing results in the literature, and it is shown that GFEM is accurate and efficient. Moreover, our result shows that the velocity fie...

Research paper thumbnail of MHD Nonlinear Mixed Convection Flow of Micropolar Nanofluid over Nonisothermal Sphere

Mathematical Problems in Engineering, 2020

In this paper, two-dimensional steady laminar boundary layer flow of a nonlinear mixed convection... more In this paper, two-dimensional steady laminar boundary layer flow of a nonlinear mixed convection flow of micropolar nanofluid with Soret and magnetic field effect over a nonisothermal sphere is evaluated. The mathematical formulation for the flow problem has been made with appropriate similarity transformation and dimensionless variables, and the main nonlinear boundary value problems were reduced into mixed high-order nonlinear ordinary differential equations. Solution for velocity, microrotation, temperature, and concentration has been obtained numerically. The equations were calculated using method bvp4c from Matlab software for various quantities of main parameters. The effects of various parameters on skin friction coefficient f″0, wall duo stress coefficient -G′0, and convection mass transfer coefficient -Φ′0 are analysed and presented through the graphs and tables. The convergence test has been maintained. For the number of points greater than the suitable mesh number of poi...

Research paper thumbnail of Nonlinear Convection Flow of Micropolar Nanofluid due to a Rotating Disk with Multiple Slip Flow

Mathematical Problems in Engineering, 2020

In this analysis, steady, laminar, and two-dimensional boundary layer flow of nonlinear convectio... more In this analysis, steady, laminar, and two-dimensional boundary layer flow of nonlinear convection micropolar nanofluid due to a rotating disk is considered. The mathematical formulation for the flow problem has been made. By means of appropriate similarity transformation and dimensionless variables, the governing nonlinear boundary value problems were reduced into coupled high-order nonlinear ordinary differential equations with numerically solved. The equations were calculated using method bvp4c from matlab software for various quantities of main parameters. The influences of different parameters on skin friction coefficients f″0 and G′0, wall duo stress coefficients H1′0, -H2′0, and -H3′0, the Nusselt number -θ′0, and Sherwood number Ω′0, as well as the velocities, temperature, and concentration are analysed and discussed through tables and plotted graphs. The findings indicate that an increase in the values of thermal and solutal nonlinear convection parameters allow to increase...

Research paper thumbnail of MHD Slip Flow of CNT-Ethylene Glycol Nanofluid due to a Stretchable Rotating Disk with Cattaneo–Christov Heat Flux Model

Mathematical Problems in Engineering, 2020

This article deals with carbon nanoliquid flow due to stretchable rotating disk with the effect o... more This article deals with carbon nanoliquid flow due to stretchable rotating disk with the effect of Cattaneo–Christov heat flux model. Both SWCNTs and MWCNTs are considered with ethylene glycol as the base fluid. The effects of nanoparticle volume friction, normally applied magnetic field, stretching factor, velocity, and thermal slip factors are examined. The fundamental flow governing equations are transformed into dimensionless system of coupled nonlinear ordinary differential equations, and they are solved numerically using spectral quasi-linearization method (SQLM). Employing graphs and tables, the results of velocity and temperature fields as well as skin friction coefficient and local heat transfer rate are analyzed and presented via embedded parameters. The results reveal that higher velocity fields and lower temperature fields are noticed in the MWCNT nanofluids than SWCNT nanofluids. The higher incidence of magnetic field improves the thermal boundary layer thickness. A gro...