The Solution of Nonlinear Fourth-Order Differential Equation with Integral Boundary Conditions by Yanli Fu, Huanmin Yao

“…An iterative algorithm is proposed for solving the solution of a nonlinear fourth-order differential equation with integral boundary conditions. …”
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Fault Diagnosis for Gearbox Based on Improved Empirical Mode Decomposition by Ling Zhao, Darong Huang, Yi Qin

“…Based on using EMD, an improved algorithm of orthogonal empirical mode decomposition (OEMD) is put forward and is applied to extract the fault feature. …”
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RECOMMENDED PROCEDURE FOR HIGHER EDUCATION PROGRAMS DESIGN by Evgeniya V. Karavaeva

“…The article proposes an algorithm for the development of educational programs of higher education in Russia, adapted from the “Tuning” methodology for the European educational standards. …”
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Multiobjective-Optimized Design of a New UWB Antenna for UWB Applications by C. Moreno de Jong van Coevorden, M. Fernández Pantoja, Salvador G. García, A. Rubio Bretones, R. Gómez-Martín, K. Palmer

“…A multiobjective genetic algorithm has been applied to design a new printed, bow-tie antenna for ultrawideband applications, that is, ground penetrating radar, short range and high data rate communications, and so forth. …”
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Numerical Solution of Sylvester Equation Based on Iterative Predictor-Corrector Method by Ovgu Cidar Iyikal

“…The numerical solutions of three examples by predictor-corrector algorithm are given. The final numerical results also support the applicability, fast convergency, and high accuracy of the method for finding matrix inverses.…”
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Application of Linear Programming in Profit Maximization: A Case Study of Crunches Fried Chicken at Miami Tours and Travel Hotel in Kabale District. by Tayebwa, Osbert

“…This project utilized the concept of simplex method algorithm; an aspect of linear programming to allocate raw materials to complete variables. …”
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The Split Common Fixed Point Problem for Total Asymptotically Strictly Pseudocontractive Mappings by S. S. Chang, L. Wang, Y. K. Tang, L. Yang

“…The purpose of this paper is to propose an algorithm for solving the split common fixed point problems for total asymptotically strictly pseudocontractive mappings in infinite-dimensional Hilbert spaces. …”
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Best Proximity Point Results for MK-Proximal Contractions by Mohamed Jleli, Erdal Karapınar, Bessem Samet

“…We provide also an iterative algorithm to find a solution of such optimization problems.…”
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Strong Convergence of the Viscosity Approximation Process for the Split Common Fixed-Point Problem of Quasi-Nonexpansive Mappings by Jing Zhao, Songnian He

“…Very recently, Moudafi (2011) introduced an algorithm with weak convergence for the split common fixed-point problem. …”
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Registration and signal processing in measuring system for monitoring leaks of NPP pipeline fittings by E. A. Abidova, V. I. Ratushny

“…The automatic processing is based on an algorithm based on the analysis of the singular spectrum, which provides an increase in sensitivity. …”
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Shape Reconstruction for Unsteady Advection-Diffusion Problems by Domain Derivative Method by Wenjing Yan, Jian Su, Feifei Jing

“…Numerical examples indicate that the proposed algorithm is feasible and effective for the practical purpose.…”
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ESTIMATION OF THERMAL IMAGER MINIMUM RESOLVABLE TEMPERATURE DIFFERENCE by Ahmed M.L. Al-Mzirawi, V. G. Kolobrodov, V. I. Mykytenko

“…An MRTD calculating algorithm, which is based on a more reliable approximation of the visual system modulation transfer function by Schultz, is considered. …”
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THE GENRE MODEL OF A SCIENTIFIC PAPER IN THE RUSSIAN AND ENGLISH LANGUAGES by Nataliya I. Kolesnikova, Yuliya V. Ridnaya

“…Since the requirements, recommendations and guidelines on the scientific paper structure presented in scientific and academic literature are mainly miscellaneous and often controversial, the author proposes to solve the problem using an invariant "Intergenre model of scientific text" providing a writer with a universal and basic algorithm for text generating activity.…”
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Reproducing Kernel Method for Solving Nonlinear Fractional Fredholm Integrodifferential Equation by Bothayna S. H. Kashkari, Muhammed I. Syam

“…Numerical results demonstrate the accuracy of the present algorithm. In addition, we prove the existence of the solution of the nonlinear fractional Fredholm integrodifferential equation. …”
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A Conservation Difference Scheme of Generalized Boussinesq Equation by Xiaoli Jiang, Xiaofeng Wang

“…We focus on the algorithm research of a class of six-order generalized Boussinesq equation. …”
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Possibility Intuitionistic Fuzzy Soft Expert Set Theory and Its Application in Decision Making by Ganeshsree Selvachandran, Abdul Razak Salleh

“…Lastly, a generalized algorithm is introduced and applied to the concept of possibility intuitionistic fuzzy soft expert sets in hypothetical decision making problem.…”
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Combinatorics in N = 1 Heterotic Vacua by Seung-Joo Lee

“…We briefly review an algorithmic strategy to explore the landscape of heterotic E 8 × E 8 vacua, in the context of compactifying smooth Calabi-Yau threefolds with vector bundles. …”
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Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

“…To address this problem, a convolutional neural network (CNN) model combining the improved particle swarm optimization (IPSO) algorithm and SHAP analysis, called SHAP-IPSO-CNN, is developed in this study, aiming to reveal the key factors affecting ground-level ozone pollution and their interaction mechanisms. …”
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A segmentation method for LiDAR point clouds of aerial slender targets by Birong Huang, Zilong Wang, Jianhua Chen, Bingyang Zhou, Hao Ma

“…The method introduces an image segmentation algorithm based on a voting mechanism for overhead power lines and designs a calibration algorithm for LiDAR point clouds and images in the scenarios with large depth of field. …”
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Optimizing Distribution Grid Performance through Electric Vehicle Integration and Stochastic Modeling in Extreme Weather Conditions by A. Niknami, M. Askari, M. Amirahmadi, M. Babaeinik

“…Monte Carlo simulation is employed to model uncertainties, while a multi-objective optimization algorithm is used to solve the problem. This algorithm aims to maximize the profits of network operators and the private sector while minimizing unsupplied energy and its associated penalties. …”
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