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In this paper, a new and generalized contraction principles are proved on complex-valued metric space. By adopting a sui...
22/01/2025

In this paper, a new and generalized contraction principles are proved on complex-valued metric space. By adopting a suitable hypothesis on sequence converging in complex-valued metric space new contractions are established for proving the common fixed-point theorem. Moreover, a rational contractive condition is improved in the complex-valued metric spaces. The obtained results through theoretical study are verified by solving the solution of the nonlinear system of Urysohn integral equations. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/5985

The “New Exponentiated Inverse Weibull” (NEIW) distribution is a novel probability distribution with versatile applicati...
22/01/2025

The “New Exponentiated Inverse Weibull” (NEIW) distribution is a novel probability distribution with versatile applications in reliability engineering, survival analysis, and related fields. This study explores the properties of the NEIW distribution, including moments, hazard function behavior, and reliability measures, through rigorous theoretical analysis and simulation studies. Additionally, maximum likelihood estimators (MLEs) for NEIW parameters are investigated via simulation studies to evaluate their performance under various scenarios. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/6255

Consider the inverse problem of determining multiple timewise coeffcient and the solution function satisfying the parabo...
21/01/2025

Consider the inverse problem of determining multiple timewise coeffcient and the solution function satisfying the parabolic equation with the direct initial and Dirichlet boundary conditions from the heat moment observations. This formulation ensures the unique solvability of the inverse problem. However, the problem still suffers from ill-posedness. Since small errors in the input data cause large errors in the output solution. The finite difference method is developed as a direct solver, whilst the inverse problem solver is reformulated as nonlinear least-squares minimization. The optimization problem was solved numerically using the lsqnonlin routine from the MATLAB toolbox. The exact and noisy input data are inverted numerically. Numerical results are presented and discussed to illustrate the performance of the inversion for timewise coefficients. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/6155

The analysis of complex biomedical datasets often involves a mix of numerical and categorical variables, posing challeng...
21/01/2025

The analysis of complex biomedical datasets often involves a mix of numerical and categorical variables, posing challenges for traditional statistical techniques. To address this limitation, this study proposes the use of Principal Component Analysis for Mixed Data (PCAmix). PCAmix is a powerful technique that can effectively reduce the dimensionality of complex datasets while preserving the most important information. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/6017

Queueing systems (QS) play a critical role in modeling and optimizing various real-world processes by managing the flow ...
20/01/2025

Queueing systems (QS) play a critical role in modeling and optimizing various real-world processes by managing the flow of entities within systems involving queues. To address this, the proposed QS integrates features such as single arrivals, a retrial mechanism, optional re-service, working vacations, and delay repair scenarios. The system’s dynamics are comprehensively analyzed using the supplementary variable technique, which provides deeper insights into its behavior and performance metrics. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/5992

One of the most challenging tasks in studying phenomena in nonlinear and quantum optics is determining the contributions...
20/01/2025

One of the most challenging tasks in studying phenomena in nonlinear and quantum optics is determining the contributions of the complexities of individual components to the complexity of the entire system (master complexity). To examine these contributions, the authors considered this issue using information measures: Kolmogorov derivatives based on Kolmogorov complexity (KC) [KC spectrum, KC plane], change complexity (CC), and Lyapunov exponent (λ). For details, please visit: https://ojs.wiserpub.com/index.php/top/article/view/5454

The main goal of the study is to identify and analyze topological indices and graph entropy for fractal binary and fract...
17/01/2025

The main goal of the study is to identify and analyze topological indices and graph entropy for fractal binary and fractal ternary trees. By examining indices such as the Randić index, Zagreb indices, and entropy measurements, the study aims to obtain a comprehensive knowledge of the structural complexity and information-theoretic properties of these fractal graphs. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/5952

This paper presents a novel approach to analyzing multiple interacting micro-cracks under mixed-mode deformation in isot...
17/01/2025

This paper presents a novel approach to analyzing multiple interacting micro-cracks under mixed-mode deformation in isotropic elastic materials, based on the modified couple-stress theory. Through asymptotic analysis and Fourier transforms, the authors explore the behavior of stress and displacement fields around crack tips and edge dislocations. The study highlights the non-singular nature of the symmetric stress tensor and the square-root singularity of the couple-stress tensor at crack tips. Explore how this innovative approach advances micro-crack analysis in elastic materials.
https://ojs.wiserpub.com/index.php/EST/article/view/5993

17/01/2025

Achieving optimal product quality requires precise parameter design in production processes. The latest paper in EST introduces a novel approach that combines probabilistic multi-objective optimization (PMOO) with fuzzy membership theory, aimed at enhancing robustness in parameter design with a focus on desirable targets. Want to discover how the fuzzed PMOO approach can revolutionize your production parameter design? Explore it now!
https://ojs.wiserpub.com/index.php/EST/article/view/5823

Imagine a system that can identify mobile network users automatically—without the need for any special tags or apps. In ...
15/01/2025

Imagine a system that can identify mobile network users automatically—without the need for any special tags or apps. In a recently published manuscript by EST, the authors propose a solution that does just that! By using a fake pseudo-base transceiver station (BTS), the system intercepts signals between the mobile phone and the nearest BTS to capture the unique IMSI information.
Learn more about the system’s features and capabilities in the full paper right now!
https://ojs.wiserpub.com/index.php/EST/article/view/5411

This research study investigates the impact of the ozone layer’s depletion at the Antarctic pole on global climate chang...
14/01/2025

This research study investigates the impact of the ozone layer’s depletion at the Antarctic pole on global climate change data such as temperature and precipitation, after the year 1985 through a fractal dimension, Multifractal Detrended Fluctuation Analysis (MFDFA), and standard correlation coefficient. For this, the research work has analyzed 45 years of climate change variables such as global monthly temperature anomaly, global monthly precipitation anomaly, and Southern Hemisphere minimum ozone time series data from 1979 to 2023. The fractal dimension of the time series is obtained by rescaled range analysis, which is used to identify the fractality of the time series
and long-range correlations and persistence. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/6141

This study introduces an innovative framework for supplier evaluation and selection, integrating the analytic hierarchy ...
14/01/2025

This study introduces an innovative framework for supplier evaluation and selection, integrating the analytic hierarchy process (AHP) and the technique for order preference by similarity to the ideal solution (TOPSIS) within a fuzzy environment. The AHP method was employed to systematically identify and prioritize key performance indicators (KPIs) critical for evaluating suppliers. Criteria such as transportation cost, flexibility in meeting product requirements, defect reduction, and effective communication and responsiveness were identified as the most significantfactors. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/6152

This paper introduces the neutrosophic Lindley distribution (NLiD) to incorporate imprecision into the statistical frame...
10/01/2025

This paper introduces the neutrosophic Lindley distribution (NLiD) to incorporate imprecision into the statistical framework. We derive key properties of the NLiD, including survival, hazard, and reverse hazard functions, as well as the odds ratio, Mills ratio, mean, and variance. Additionally, we explore entropy measures such as Neutrosophic Renyi, Neutrosophic Tsallis, and Neutrosophic Arimoto entropies, complemented by a simulation study and graphical analysis. Maximum likelihood estimation is employed to estimate the distribution parameters, with simulation validating the accuracy of these estimates. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/6127

India, a high-incidence area of respiratory diseases, is facing severe challenges. The latest study uses GIS technology ...
09/01/2025

India, a high-incidence area of respiratory diseases, is facing severe challenges. The latest study uses GIS technology to deeply analyze the spatiotemporal distribution of the three major respiratory diseases, tuberculosis, pneumonia and ARDS, from 2019 to 2021, and reveal key risk factors. Through logistic regression analysis, some of the 14 variables are closely related to the frequent occurrence of diseases and the risk of hospitalization, which lights up a beacon for precise prevention and control. The study not only deepens the understanding of the causes of the disease, but also provides a scientific basis for the formulation of personalized prevention and control strategies. This innovative method is expected to be promoted in similar regions around the world to jointly build a respiratory health defense line. Join us to explore new paths for the prevention and control of respiratory diseases!

Find more information of this research, please visit through:
https://ojs.wiserpub.com/index.php/CM/article/view/5923

In the present era, the concepts of neutrosophic set theory are essential for handling uncertain data with three distinc...
08/01/2025

In the present era, the concepts of neutrosophic set theory are essential for handling uncertain data with three distinct components. Researchers across various fields widely use these concepts due to their significant applications. Our world is filled with unpredictability, ambiguity, and vagueness, making it crucial to replace items at the appropriate time. This research paper focuses on the importance of addressing the replacement issue to improve reliability in maintenance scheduling. Ambiguity and uncertainty were present challenges in resolving maintenance issues. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/5722

03/01/2025

The present work introduces novel findings on the relationship between Schur stability and structured singular values of real-valued n-dimensional matrices. We derive these findings by using a range of mathematical techniques from linear algebra, matrix analysis, and system theory. Both Schur’s stability and structured singular values play a pivotal role in modern system theory and the design of robust systems. Schur stability ensures the boundedness and stability of system responses by requiring that all eigenvalues lie within the unit circle. In contrast, structured singular values provide a means to quantify a system’s resilience, stability, and performance under organized disturbances in system parameters. This quantification offers critical insights into the stability margins and performance boundaries in the presence of uncertainties.
More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/5707

This work introduces a novel approach to modeling the photothermal behavior of semiconducting materials by developing a ...
02/01/2025

This work introduces a novel approach to modeling the photothermal behavior of semiconducting materials by developing a Moore-Gibson-Thompson (MGT) fractional photothermal model that incorporates a generalized Caputo fractional derivative with a tempering parameter. This advanced model is specifically designed to analyze elastic plasmonic wave systems in photothermal environments, offering deeper insights into the interactions between thermal, mechanical, and electromagnetic fields in semiconductors. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/5963

The initial objective of the paper is to propose an explicit relationship between the fractal dimension and fractal nume...
02/01/2025

The initial objective of the paper is to propose an explicit relationship between the fractal dimension and fractal numerical integration of curves approximated through fractal interpolation from a discrete set of data points. Once the proposed relation is established, it is shown to be accurate by considering the data points of certain functions. The conventional box-counting dimension method has several drawbacks including the proper positioning of the boxes and determining the size of the boxes. The proposed relation becomes significant for such situations in providing the accurate determination of fractal dimension. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/5282

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