Search Results - "algorithm"

Introduction. In recent years, much attention has been paid to the development of trajectory filtering methods for tracking maneuvering targets. Multi-model (MM) algorithms are widely used for filtering maneuvering targets. Conventional MM algorithms are characterized by a fixed structure. However,...

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The surface finish of a machined product is essential for assessing its quality and other attributes. Modeling the surface roughness and hardness of a machined component is challenging for several reasons. The present study examines the effectiveness of four meta-heuristic algorithms in optimizing s...

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Metaheuristic algorithms, due to their superior global exploration capabilities and applicability, have emerged as critical tools for addressing complicated optimization tasks. However, these algorithms commonly depend on expert knowledge to configure parameters and design strategies. As a result, t...

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This paper presents a hybrid memetic algorithm for finding a conditional global extremum of functions. The algorithm combines such characteristics as modularity and adaptability which provides flexibility and controllability of the algorithm and reduces the influence of parameters. On the basis of t...

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Computing interactions among cells is computationally complex in multicellular molecular communication simulations, making the design of efficient algorithms crucial. We review simulation algorithms for computing interactions among cells in multicellular molecular communication simulations. The naïv...

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Ensemble Clustering (EC) methods became more popular in recent years. In this methods, some primary clustering algorithms are considered to be as inputs and a single cluster is generated to achieve the best results combined with each other. In this paper, we considered three hierarchical methods, wh...

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Traditional sorting methods are mainly implemented in software serial mode, including bubble sorting, selective sorting and so on. These algorithms often use sequential comparison, and the operation time complexity is relatively high. In recent years, some sorting algorithms with a high degree of pa...

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Honeywords are fake passwords that serve as an accompaniment to the real password, which is called a “sugarword.” The honeyword system is an effective password cracking detection system designed to easily detect password cracking in order to improve the security of hashed passwords. For every user,...

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Algorithm of the building of the table of the transpositions is оffered without repetitions from N element in the manner of numeric row.

Electron accelerators are widely used in material modification, disinfection and sterilization, sewage treatment and other fields. However, in practical applications, the control of electron accelerator beam intensity can’t be adjusted quickly and accurately, which greatly reduces the efficiency and...

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Given a set of <i>n</i> points in a plane, the General Position Subset Selection problem is that of finding a maximum-size subset of points in general position, i.e., with no three points collinear. The problem is known to be hard computationally, and the best approximation ratio known i...

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The sentiment analysis used in the Canva application involves collecting user reviews or feedback. Then, a sentiment analysis algorithm is applied to classify the reviews as positive or negative. Sentiment analysis can help the company understand user opinions about the Canva application and how the...

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Path planning, as a central challenge in mobile robotics, directly impacts the operational efficiency and safety of robotic systems. To enhance navigation performance in complex environments, this paper proposes a two-stage optimization framework: First, a Grid-Optimized Genetic A<inline-formula&...

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In this era of data-driven decision-making, it is important to securely and efficiently extract knowledge from distributed datasets. However, in outsourced data for tasks like frequent itemset mining, privacy is an important issue. The difficulty is to secure sensitive data while delivering the insi...

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Introduction. The estimation of efficiency of methods and algorithms for solving optimization problems with a vector criterion and a set of nonlinear constraints is considered. The approach that allows proceeding to an optimization problem with a single objective function (i.e., an unconditional opt...

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Software Defined Network (SDN) is a new technology that separate the ‎control plane from the data plane. SDN provides a choice in automation and ‎programmability faster than traditional network. It supports the ‎Quality of Service (QoS) for video surveillance application. One of most ‎significant is...

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The paper describes some ways to accelerate solving the NP-complete Traveling Salesman Problem. The classic Little algorithm belonging to the category of ”branch and bound methods” can solve it both for directed and undirected graphs. However, for undirected graphs its operation can be accelerated b...

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The Grasshopper optimization algorithm showed a rapid converge in the initial phases of the global search, however while being around the global optimum, the searching process became so slow. On the contrary, the gradient descending method around achieved faster convergent speed global optimum, and...

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In recent decades, the rapid development of metaheuristic algorithms has outpaced theoretical understanding, with experimental evaluations often overshadowing rigorous analysis. While nature-inspired optimization methods show promise for various applications, their effectiveness is often limited by...

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The environmental risk analysis for veterinary medicinal products is an assessment of their possible evolution, exposures and effects and is structured according to the EMEA/CVMP/ERA/418282/2005-Rev1[1], VICH GL6 (Phase I) and GL38 (Phase II) guides. The three primary components of a quantitative ri...

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