A Thermoelastic Piezoelectric Fixed Rod Exposed to an Axial Moving Heat Source via a Dual‐Phase‐Lag Model

Ragab, Mahmoud; Abo‐Dahab, S. M.; Abouelregal, Ahmed E.; Kilany, A. A.

doi:10.1155/2021/5547566

Cited by 21 publications

(5 citation statements)

References 37 publications

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“…This section inspects the PD classification result analysis of the presented IFSO-DL technique. The results are investigated against four datasets namely HandPD Spiral, HandPD Meander, Speech PD, and Voice PD [ 24 – 26 ]. Table 1 and Figure 3 offer the selected features attained by the IFSO-DL technique with other FS methods.…”

Section: Performance Validationmentioning

confidence: 99%

Metaheuristics with Deep Learning-Enabled Parkinson’s Disease Diagnosis and Classification Model

Bahaddad

Ragab

Ashary

et al. 2022

Journal of Healthcare Engineering

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Parkinson's disease (PD) affects the movement of people, including the differences in writing skill, speech, tremor, and stiffness in muscles. It is significant to detect the PD at the initial stages so that the person can live a peaceful life for a longer time period. The serious levels of PD are highly risky as the patients get progressive stiffness, which results in the inability of standing or walking. Earlier studies have focused on the detection of PD effectively using voice and speech exams and writing exams. In this aspect, this study presents an improved sailfish optimization algorithm with deep learning (ISFO-DL) model for PD diagnosis and classification. The presented ISFO-DL technique uses the ISFO algorithm and DL model to determine PD and thereby enhances the survival rate of the person. The presented ISFO is a metaheuristic algorithm, which is inspired by a group of hunting sailfish to determine the optimum solution to the problem. Primarily, the ISFO algorithm is applied to derive an optimal subset of features with a fitness function of maximum classification accuracy. At the same time, the rat swarm optimizer (RSO) with the bidirectional gated recurrent unit (BiGRU) is employed as a classifier to determine the existence of PD. The performance validation of the IFSO-DL model takes place using a benchmark Parkinson’s dataset, and the results are inspected under several dimensions. The experimental results highlighted the enhanced classification performance of the ISFO-DL technique, and therefore, the proposed model can be employed for the earlier identification of PD.

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Section: Performance Validationmentioning

confidence: 99%

Metaheuristics with Deep Learning-Enabled Parkinson’s Disease Diagnosis and Classification Model

Bahaddad

Ragab

Ashary

et al. 2022

Journal of Healthcare Engineering

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“…Various changes to the Pennes bioheat transfer (PBT) equation have been proposed throughout the years to address the inconsistencies. One of these changes is the modified heat flux formula that considers the slow propagation speed of thermal waves in a biological medium [ 65 , 66 ]. On the other hand, the literature has indicated that thermal activity in nonhomogeneous media needs a relaxation period to collect enough energy to move to the next element and that the relaxation time in biological tissues is significant [ 67 ].…”

Section: Mathematical Mgt Bioheat Modelmentioning

confidence: 99%

Heat Transfer in Biological Spherical Tissues during Hyperthermia of Magnetoma

Ragab

Abouelregal

Alshaibi

et al. 2021

Biology

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Hyperthermia therapy is now being used to treat cancer. However, understanding the pattern of temperature increase in biological tissues during hyperthermia treatment is essential. In recent years, many physicians and engineers have studied the use of computational and mathematical models of heat transfer in biological systems. The rapid progress in computing technology has intrigued many researchers. Many medical procedures also use engineering techniques and mathematical modeling to ensure their safety and assess the risks involved. One such model is the modified Pennes bioheat conduction equation. This paper provides an analytical solution to the modified Pennes bioheat conduction equation with a single relaxation time by incorporating in it the (MGT) equation. The suggested model examines heat transport in biological tissues as forming an infinite concentric spherical region during magnetic fluid hyperthermia. To investigate thermal reactions caused by temperature shock, specifically the influence of heat generation through heat treatment on a skin tumor [AEGP9], the Laplace transformation, and numerical inverse transformation methods are used. This model was able to explain the effects of different therapeutic approaches such as cryotherapy sessions, laser therapy, and physical occurrences, transfer, metabolism support, and blood perfusion. Comparison of the numerical results of the suggested model with those in the literature confirmed the validity of the model’s numerical results.

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“…Kitano and Mikami 35 constructed HSM for HT by employing shallow convolutional neural networks. More sensors and actuators were employed by Ragab et al 36 in active noise and vibration control. As a result, a fixed one-dimensional homogeneous thermoelastic piezoelectric rod exposed to a moving heat flow has been explored.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Nonuniform Heat Generation (Sink) and Thermal Characterization of a Carreau Fluid Flowing across a Nonlinear Elongating Cylinder: A Numerical Study

Hussain

Goud

Prakash³

et al. 2022

ACS Omega

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During thermal radiation treatments, heat therapies, and examination procedures like scans and X-rays, the cylindrical blood vessels may get stretched; meanwhile, the blood flow through those blood vessels may get affected due to temperature variations around them. To overcome this issue, this work was framed to explore the impact of heat transmission in a Carreau fluid flow (CFF) through a stretching cylinder in terms of the nonlinear stretching rate and irregular heat source/sink. Temperature-dependent thermal conductivity and thermal radiation are taken into consideration in this study. To tranform complicated partial differential equations into ordinary differential equations, appropriate similarity variables are used. For a limited set of instances, the derived series solutions are compared to previously published results. For linear and nonlinear stretching rates, graphs and tables are used to examine the influence of an irregular heat source/sink on fluid movement and heat transfer. The research outcomes demonstrate that the heat source and nonlinear stretching rate cause a disruption in the temperature distribution in the fluid region, which can alter the blood flow through the vessels. In all conditions except for the heat in an internal heat sink, the nonlinear stretching situation improves the velocity and heat profile. Furthermore, with the increase in the values of the Weissenberg number, the temperature profile shows opposing features in a shear-thickening fluid and shear-thinning fluid. For the former n > 1, the blood fluidity gets affected, restricting the free movement of blood. For the latter, n < 1, the phenomenon is reversed. Other industrial applications of this work are wire coating, plastic coverings, paper fabrication, fiber whirling, etc. In all of those processes, the fluid flow is manipulated by thermal conditions.

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A Thermoelastic Piezoelectric Fixed Rod Exposed to an Axial Moving Heat Source via a Dual‐Phase‐Lag Model

Cited by 21 publications

References 37 publications

Metaheuristics with Deep Learning-Enabled Parkinson’s Disease Diagnosis and Classification Model

Metaheuristics with Deep Learning-Enabled Parkinson’s Disease Diagnosis and Classification Model

Heat Transfer in Biological Spherical Tissues during Hyperthermia of Magnetoma

Effectiveness of Nonuniform Heat Generation (Sink) and Thermal Characterization of a Carreau Fluid Flowing across a Nonlinear Elongating Cylinder: A Numerical Study

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