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        <title>International Journal of Mathematics and Computer in Engineering Feed</title>
        <link>https://sciendo.com/journal/IJMCE</link>
        <description>Sciendo RSS Feed for International Journal of Mathematics and Computer in Engineering</description>
        <lastBuildDate>Sat, 04 Apr 2026 01:43:07 GMT</lastBuildDate>
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            <title>International Journal of Mathematics and Computer in Engineering Feed</title>
            <url>https://sciendo-parsed.s3.eu-central-1.amazonaws.com/6471f879215d2f6c89db71c4/cover-image.jpg</url>
            <link>https://sciendo.com/journal/IJMCE</link>
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        <copyright>All rights reserved 2026, Harran University</copyright>
        <item>
            <title><![CDATA[A stochastic neural network process for the fractional order lungs cancer operation system]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0011</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0011</guid>
            <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

The purpose of current research is to provide the solutions of the fractional lungs cancer operation system using one of the neural network approaches. The mathematical model is divided into immune/epithelial cells, tumor suppressor genetic factor, evolution factor oncogenes, and blood lung cancer vessels. The fractional derivatives are performed more competent as compared to integer order derivatives. A neural network approach based on the Levenberg-Marquardt Backpropagation is applied to solve the fractional kind of derivative to exist the solution of the system. Eighteen numbers of neurons along with sigmoid activation function in the hidden layer are used in the neural network process, while the data is created via Adam numerical solver with the selection of different percentages including testing, training and verification. The correctness of the designed neural network scheme is observed through the matching of the outcomes, best training performances and insignificant absolute error. Moreover, some tests based regression, state transition, and error histogram are also been used to check the validity of the proposed scheme.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[An efficient higher-order trigonometric cubic B-spline collocation method for timefractional Burgers equations]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0013</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0013</guid>
            <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

This manuscript is devoted to investigate the numerical solutions of the nonlinear time-fractional Burgers equation representing a significant extension of the classical Burgers equation to fractional derivative. For this purpose, an efficient higher-order trigonometric cubic B-spline collocation method which is based on finite element analysis presented and used to achieve the aim of the manuscript. During the obtaining the numerical solutions of the mentioned equation, the discretization of the spatial part is performed via Crank-Nicolson approach and the time derivative is performed in Caputo sense and discretization of the time derivative is made by L1 algorithm. Also, the nonlinear term seen in the Burgers equation is linearized through the use of Rubin-Graves linearization technique. Consequently, the performing of the collocation method is resulted to obtain a numerical scheme which is producing an algebraic system being solved by iteratively. The stability of the numerical scheme is investigated using von-Neumann stability criteria. Three test problems are considered to confirm the validity, accuracy and efficiently of the method. The error between numerical solutions and exact ones is measured with the norms L2 and L∞. Comparisons results are presented by tables, the behaviour of the numerical solutions and the harmony with the exact solutions are depicted with graphs as well.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A review on fuzzy fractional order modeling in health systems with application to cardiovascular disease]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0014</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0014</guid>
            <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

Heart attacks and cardiovascular diseases are leading causes of death worldwide owing to their highly dynamic behavior and the variability among individuals. The combination of fractional calculus and fuzzy logic provides a more accurate representation of complex pathological and pharmacological processes. This review emphasizes the need to continue and extend research on fuzzy fractional-order models and the advantages of this approach. For future research, we suggest a novel fuzzy fractional-order mathematical model that employs the Caputo fractional derivative to address heart-related disorders and heart attacks. The essential analysis focuses on the invariant area in which model equations have epidemiological meaning and are solution-positive. The fixed-point theorem proves that the solutions are unique. The study investigates the possibilities for treating cardiovascular diseases by evaluating equilibrium points and their stability. A general method for employing the fuzzy Laplace transform to obtain the semi-analytic solution of the fuzzy fractional model under study is provided. The suggested technique provides a more flexible and realistic understanding of cardiac disease dynamics than standard models, as evidenced by numerical simulations that reveal how fuzzy parameters and fractional order influence illness outcomes.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Application of Bernoulli wavelet method on the convective-radiative Fin with heat generation]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0012</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0012</guid>
            <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

The study explores the application of the Bernoulli wavelet method (BWM) to analyze the thermal performance of convective-radiative fins with heat generation. These fins play a critical role in enhancing heat transfer efficiency in engineering systems, making accurate thermal analysis essential. The governing nonlinear differential equation, derived from the energy balance, accounts for conduction, convection, radiation, and internal heat generation. The BWM is employed to discretize the highly nonlinear governing equation into a system of algebraic equations, which are solved numerically. The wavelet approach ensures high computational accuracy and efficient convergence, even for highly nonlinear scenarios. Key parameters, including thermal conductivity variation, convective and radiative heat transfer coefficients, and the heat generation rate, are systematically analyzed to assess their impact on temperature distribution. The results are validated against existing numerical and analytical solutions, demonstrating the reliability and accuracy of the proposed method. This research highlights the BWM as an effective tool for solving complex nonlinear heat transfer problems in thermal systems.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The future of web application security: Opportunities and challenges for machine learning-based techniques]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0002</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0002</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

In this paper, the future prospects and potential for machine learning-based solutions in web application security are examined. These include enhancing accuracy and efficiency, real-time detection, scaling, explainable Artificial Intelligence (AI), adversarial machine learning, and automated response. The article also gives a general overview of Machine Learning (ML) methods that are frequently applied to web application security, including supervised learning methods like decision trees, Support Vector Machines (SVMs), and neural networks, unsupervised learning methods like k-means clustering and Principal Component Analysis (PCA), and deep learning methods such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The incorporation of machine learning-based approaches into security measures will be more necessary as online applications continue to develop in order to meet new threats.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A mathematical model of HPA axis dynamics and impacts of alcohol consumption]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0006</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0006</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

In this study, we develop a mathematical model to examine the effects of varying levels of alcohol consumption on the dynamics of the hypothalamic-pituitary-adrenal (HPA) axis. Our model also integrates circadian and ultradian rhythms to more accurately represent physiological responses over time and explores age and gender related impacts on HPA axis function. Despite the omission of gonadal hormone-cortisol interactions and other simplifying assumptions that had minimal influence on outcomes, simulation results reveal a significant association between elevated alcohol intake and the development of hypercortisolism, or Cushing’s syndrome, underscoring potential disruptions in HPA axis function and circadian rhythm behavior induced by alcohol. These findings underscore the importance of understanding the influence of external factors such as alcohol on stress regulation and provide new insights into the pathophysiology of stress-related disorders.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A new application of Taylor expansion for approximate solution of systems of Fredholm integral equations]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0008</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0008</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

Systems of Fredholm integral equations are essential in engineering fields for modeling complex systems involving dynamic behavior, material properties, and interactions between different forces or fluids. In this research, the Taylor expansion approach is utilized to solve the systems of linear Fredholm integral equations (SLFIEs) of the second kind in a novel manner. By combining the mth-order Taylor polynomial of unknown functions at an arbitrary point and employing the repeated integration method; the given system of linear Fredholm integral equations is transformed into a new system of linear equations of unknown functions and their derivatives. Eventually, this new system is solved to obtain demanded mth-order approximate solutions. An error analysis is given as well as several numerical examples to demonstrate the efficiency, accuracy, and ability of the proposed method. Furthermore, this method leads always to the exact solution if the exact solution is a polynomial of degree less than or equal to m.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Signless Laplacian spectrum of power graph of certain finite non-commutative groups]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0003</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0003</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

In this present study, we investigate the signless Laplacian spectrum of power graphs of different finite non-commutative groups. Initially, we obtain the spectrum of the signless Laplacian matrix of power graph of elementary abelian groups whose orders are powers of a prime number. The signless Laplacian spectrum of the smallest sporadic group, the Mathieu group M11, is then computed. We also find the signless Laplacian eigenvalues of 𝒫(Q2k+2), where Q2k+2 represents the generalized quaternion group. For 𝒫(Dic4n), where Dic4n is the dicyclic group, we finally give bounds on the signless Laplacian spectral radius.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A study on different classes of differential equations by semi-analytical and numerical techniques]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0004</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0004</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study uses the Homotopy analysis method (HAM) and Haar wavelet transform (HWT) to give an innovative technique for approximating to the nonlinear ordinary differential equations (ODEs), a system of ODEs, and partial differential equations (PDEs). HAM is a potent semi-analytical method that works well with linear and nonlinear problems studied. HWT is a numerical technique that effectively discretizes differential equations (DEs) simultaneously. A robust analytical method builds a family of equations that smoothly transforms the original nonlinear equation into a straightforward linear issue using the topological concept of homotopy. This allows the derivation of extremely precise series solutions. Real-world application problems are solved to analyze the correctness and effectiveness of the projected system.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A robust framework for solving PDEs: Biorthogonal spline wavelet methods]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0005</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0005</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper presents a novel numerical approach for solving the partial differential equations (PDEs), focusing on the Diffusion equation. The method combines a collocation approach with wavelet techniques to achieve high accuracy in approximating solutions. A detailed framework for the proposed method, explaining the discretization process at multiple collocation points and the formulation of the resulting system of linear equations is provided. An implementation is conducted to demonstrate the method’s effectiveness in capturing the complex behaviors typical of the model studied. Comparisons with analytical solutions underscore the robustness and precision of the technique, paving the way for its application in diverse fields such as physics, finance, and engineering.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[On the soliton solutions of the generalized stochastic nonlinear Schrödinger equation with Kerr effect and higher order nonlinearity via two analytical methods]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0007</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0007</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

In this study, we investigate the generalized stochastic nonlinear Schrödinger equation, which models the propagation of ultrashort optical pulses in nonlinear and dispersive media, incorporating both Kerr effect and higher-order nonlinearities. To construct exact analytical solutions, we employ the tan(ϖ(ξ)2)\tan \left( {{{\varpi (\xi )} \over 2}} \right)-expansion method and the (G′/G, 1/G)-expansion method. These methods yield a variety of exact solutions, including dark, singular, and singular periodic soliton solutions, each representing different physical wave behaviors. We further perform a stability analysis to determine the robustness of these solutions under perturbations and examine their temporal evolution to better understand their propagation dynamics. Graphical illustrations of selected solutions are provided to visualize their dynamics and to demonstrate how the passage of time influences the structure and stability of the resulting wave forms.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Dynamics of new truncated M-fractional derivative wave structures to the nonlinear Zhiber-Shabat equation arising in variety of fields]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0009</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0009</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

In this work, we explore the different wave structures and the effect of fractional parameter to the nonlinear partial differential equation known as the nonlinear Zhiber-Shabat equation (ZSE). The model has a variety of applications in the mathematical community, including fluid dynamics, integral quantum field theory, nonlinear optics. The recently developed integration techniques known as generalized Riccati equation mapping method, Kumar-Malik method (KMM) and multivariate generalized exponential integral function approach are adopted. The suggested model is transformed into a nonlinear ordinary differential equation with the application of the truncated M-fractional derivative in order to get the intended results. The obtained structures are novel and expressed in the form of solitary wave solutions including hyperbolic, periodic as well as exponential function solutions under certain conditions. Various combinations and magnitudes of the physical parameters are employed to investigate the soliton solutions of the resultant system. Graphs are constructed by plotting the final solutions with the appropriate parameter values to elucidate the scientific interpretation and physical importance of the analytical findings.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[On the rational sine-Gordon solution of the forced KdV equation]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0001</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0001</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

The KdV equation with a forcing term is solved by searching the sine-Gordon solution. The KdV equation is converted into a nonlinear ordinary differential equation (NODE). The analytical solutions of the model studied is obtained in terms of some suitable periodic functions. The physical meanings of the parametric dependence of solutions is also studied.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Experimentally optimizing a spinning disk by manipulating its mass distribution and radius]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2026-0010</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2026-0010</guid>
            <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

The scientific method enables the experimental study of complex phenomena by isolating key variables. This work explores the significant properties of spinning bodies. Optimizing spinning disks is the primary aim of this work. Optimization is achieved by manipulating the moment of inertia (MOI) of the disk, allowing a longer duration of spin and lowering the rate of energy dissipation. Experiments are designed and conducted to explore the relationship between the radius and mass distribution of the disk and the angular deceleration experienced by it. Effects of the same on energy retention is analyzed. Empirical data is interpreted graphically while accounting for systematic and random uncertainties. Percentage change in duration of spin as a result of percentage change in physical quantities is studied. Moving mass away from the central axis of the spinning disk increases its duration of spin from a constant initial angular velocity. Energy retention is also improved. Increasing the radius of the disk increases the duration of spin and reduces the rate of energy dissipation. The above conclusions are drawn from experiments where the mass and thickness of the disk are controlled along with other necessary factors that can influence the results. The experiments confirm the existing theory relating to the moment of inertia, angular quantities, resistive torques and kinetic energy of spinning disks. The experiments provide insights into the behavior of spinning disks in practical situations, especially in problems concern with optimization in the field of mechanical engineering.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[An approximate approach for fractional relaxation-oscillation equation based on Taylor expansion]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2025-0030</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2025-0030</guid>
            <pubDate>Sat, 20 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This work presents an application of the efficient method to solve the fractional relaxation-oscillation equation. The method is based on employing Taylor polynomial of degree m for unknown function and repeated integration technique coupled with the Riemann-Liouville fractional derivative such that the fractional relaxation-oscillation equation is transformed into a linear equations system involving an unknown function and its derivatives which is then solved. An error analysis is given along with several numerical applications to demonstrate the simplicity and the effectiveness of the suggested technique for which the exact solutions are known beforehand.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Application of a generalized heat equation to ultra-fast processes in viscoanelastic isotropic medium]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2025-0027</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2025-0027</guid>
            <pubDate>Thu, 18 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Using a classical irreversible thermodynamics of internal variables (CIT-IV) with V. Ciancio’s procedure, viscous-inelastic flow relations have been derived by generalizing the Duhamel-Neumann law for ordinary thermoelastic phenomena in isotropic media and the relations for elastic media and for Maxwell, Jeffreys and Poynting-Thomson bodies. In literature, Fourier and Maxwell-Cattaneo-Vernotte’s (MCV) heat transport equations are based on hypothesis that lack physical confirmation while the V.Ciancio model obtains both mathematical and physical applications. In this context, through the simple description of the ultra-fast process of energy transmission from a laser source to metal film, using the principles of thermodynamics, the heat equation is derived in the case of isotropic viscoanelastic media subject to constant strain. The solution, obtained numerically with the finite element method, not only highlights the physical significance of the phenomenological coefficients, but also specifies the limits of the previous theories of the MCV.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[A new modified conformal expansion method to some nonlinear conformal partial differential equations]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2025-0029</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2025-0029</guid>
            <pubDate>Wed, 17 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

In this paper, a new modified conformal expansion method is employed to derive exact solutions to specific nonlinear partial differential equations. Katugampola's derivative and the complex transform are utilized to convert nonlinear partial differential equations into nonlinear ordinary differential equations. The efficacy of the proposed methodology is substantiated through the application of Whitham-Broer-Kaup equations, coupled Burgers equations, and coupled mKdV equations. Various analytical solutions including hyperbolic, singular kink, singular periodic, and trigonometric solutions are extracted. Wave simulations of results found in this paper are also plotted.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[On Laplacian and distance Laplacian spectra of generalized fan graph and a new graph class]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2025-0021</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2025-0021</guid>
            <pubDate>Tue, 16 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[
Given a graph G, the Laplacian matrix of G, L(G) is the difference of the adjacency matrix A(G) and Deg(G), where Deg(G) is the diagonal matrix of vertex degrees. The distance Laplacian matrix DL(G) is the difference of the transmission matrix of G and the distance matrix of G. In the given paper, we first obtain the Laplacian and distance Laplacian spectrum of generalized fan graphs. We then introduce a new graph class which is denoted by 𝒩 𝒞 (Fm,n). Finally, we determine the Laplacian spectrum and the distance Laplacian spectrum of 𝒩 𝒞 (Fm,n).
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Unmasking complexity: investigating numbers within Diophantine D(∓2) sets]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2025-0023</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2025-0023</guid>
            <pubDate>Sun, 14 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The purpose of this paper is to explore the enigmatic world of numbers in Diophantine D(∓2) sets, revealing fresh insights into their intricate properties and profound connections. Diophantine D(∓2) sets, which are defined by integer-based Diophantine conditions, represent a compelling domain ripe for investigation. Our study delves into these sets, disregarding their cardinalities, aiming to unveil the concealed patterns and unique characteristics they harbor. Through meticulous scrutiny of their structure, our objective is to reveal the presence of prime numbers within these sets. In our investigation, we draw upon the foundational principles of Elementary and Algebraic Number Theory, invoking the Quadratic Reciprocity Law, Diophantine equations, and the enduring contributions of eminent mathematicians such as Gauss, Dirichlet, and Fermat. These tools and insights serve as guides in our exploration, ultimately leading to a deeper comprehension of the numbers within the Diophantine D(∓2) set and their significance within the broader landscape of mathematics.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Staff churn and lifetime prediction using machine learning]]></title>
            <link>https://sciendo.com/article/10.2478/ijmce-2025-0024</link>
            <guid>https://sciendo.com/article/10.2478/ijmce-2025-0024</guid>
            <pubDate>Sun, 14 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The aim of this study is to develop machine learning based models for staff churn and staff lifetime prediction. Three different approaches are used in the development of these models. In the first approach, prediction models are developed without feature selection. In the second approach, prediction models are developed using the Minimum Redundancy Maximum Relevance (mRMR) feature selection algorithm. In the third approach, prediction models are developed using the Principal Component Analysis (PCA) feature selection algorithm. Two different datasets are used in the development of the models. For predicting staff churn in both datasets, Logistic Regression (LR), Categorical Boosting (CatBoost), and Extreme Learning Machine (ELM) are used. To predict staff lifetime, Support Vector Machine (SVM), Gradient Boosting Machine (LightGBM), and K-Nearest Neighbors (KNN) are used. In order to evaluate the performance of the prediction models, Accuracy and F-Score are used for classification-based models, while Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) are used for regression-based models. The results obtained in this study show that the feature selection algorithms have no significant effect on the performance of the models.
]]></description>
            <category>ARTICLE</category>
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