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Artículos de revistas sobre el tema "Algorithems"

Autor: Grafiati

Publicado: 6 de septiembre de 2023

Última modificación: 31 de julio de 2025

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1

Tian, Xin Cheng, and Xiao Hong Deng. "Trajectory Interpolation in CNC Grinding of Indexable Inserts." Advanced Materials Research 97-101 (March 2010): 2007–10. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.2007.

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Most of the commenly adotped interpolation algorithems are for the curve machining on CNC machine tools with Cartesian coordinates configuration. For a CNC machine tool with non-Cartesian configuration, new trajectory interpolation algorithem must be developed to machine complex part sueface. Based on the analysis of the geometric characteristics and the CNC grinding principle of indexable inserts, this paper proposes two interpolation algorithems to grind the nose surface of indexable inserts with constant or variable back angle. The algorithm precision analysis is also made in this paper.

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2

Morsy, H., M. El-khatib, W. Hussein, and M. Mahgoub. "INVESTIGATION OF MODERN CONTROL ALGORITHEMS IN MECHATRONIC SYSTEM." International Conference on Applied Mechanics and Mechanical Engineering 15, no. 15 (2012): 1–20. http://dx.doi.org/10.21608/amme.2012.37057.

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3

Ye, Jun. "Applying Immune Algorithems to the Calculation of Sound Insulation of Walls." Applied Mechanics and Materials 584-586 (July 2014): 1853–57. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.1853.

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Building wall plays a key role in the noise isolation. As a there are lot of open holes in the wall for various construction equipments, pipes and lines, it is an important issue how to determine the maximum area of wall cracks with the given expect sound insulation. The calculation model is established with immune algorithm, the expected value of the sound isolation is defined as objective function, the areal density, thickness and Young modulus of monolayer wall are defined as bounded variable. The global maximum value of objective function is obtained by the MATLAB program and so to determi

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4

Murtuza, Syed. "A Concis Presentation of Supiervised Learing Algorithems for Feedforward Neural Netwoks." IFAC Proceedings Volumes 27, no. 9 (1994): 91–94. http://dx.doi.org/10.1016/s1474-6670(17)45902-7.

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5

LIU, Yanfang. "Application of integration algorithems for elasto-plasticity constitutive model for anisotropic sheet materials." Chinese Journal of Mechanical Engineering (English Edition) 19, no. 04 (2006): 554. http://dx.doi.org/10.3901/cjme.2006.04.554.

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6

Duvvada, Rajeswara Rao, Shaik Ayesha Fathima, and Shaik Noorjahan. "A Comprehensive Analysis and Design of Land Cover Usage from Satellite Images using Machine Learning Algorithems." Journal of Visual Language and Computing 2022, no. 1 (2022): 25–35. http://dx.doi.org/10.18293/jvlc2022-n1-014.

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7

Devi, Kapila, and Saroj Ratnoo. "Cluster analysis of socio-economic factors and academic performance of school students." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 3 (2023): 1568. http://dx.doi.org/10.11591/ijeecs.v31.i3.pp1568-1577.

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The objective of the paper is to examine the academic performance of students’ vis-a-vis socio-economic factors using clustering analysis. The grades obtained in the 10<sup>th</sup> class are taken as the measure of academic performance. The variables such gender, caste, parental education and occupation. are considered as the socio-economic indicators. Three clustering algorithems are employed. The K-medoid performs better in the validation process to form the groupings based on intra-cluster homogeneity and inter-cluster heterogeneity. The clustering analysis results in two inter

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8

Kanwal, Fouzia, Mr Kamran Abid, Muhammad Sajid Maqbool, Dr Naeem Aslam, and Muhammad Fuzail. "Optimized Classification of Cardiovascular Disease Using Machine Learning Paradigms." VFAST Transactions on Software Engineering 11, no. 2 (2023): 140–48. http://dx.doi.org/10.21015/vtse.v11i2.1527.

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Nearly 19 million people die each year from cardiovascular and chronic respiratory diseases, which are a global threat. It is necessary to address the causes of these diseases because of the high death rate. The investigation uncovered a number of causes, but the inability to forecast these diseases symptoms is by far the most significant. In this work, we developed a method for anticipating these diseases crucial symptoms, which will aid in early disease diagnosis and allow patients to begin treatment. This research will introduce a new computational medicine research using machine learning (

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9

Kapila, Devi, and Ratnoo Saroj. "Cluster analysis of socio-economic factors and academic performance of school students." Cluster analysis of socio-economic factors and academic performance of school students 31, no. 3 (2023): 1568–77. https://doi.org/10.11591/ijeecs.v31.i3.pp1568-1577.

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The objective of the paper is to examine the academic performance of students’ vis-a-vis socio-economic factors using clustering analysis. The grades obtained in the 10th class are taken as the measure of academic performance the variables such gender, caste, parental education and occupation are considered as the socio-economic indicators. Three clustering algorithems are employed. The K-medoid performs better in the validation process to form the groupings based on intra-cluster homogeneity and intercluster heterogeneity. The clustering analysis results in two interesting groups of the

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10

Gangavane, Ms H. N. "A Comparison of ABK-Means Algorithm with Traditional Algorithms." International Journal of Trend in Scientific Research and Development Volume-1, Issue-4 (2017): 614–21. http://dx.doi.org/10.31142/ijtsrd2197.

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11

Alaa, A. Alomoush, Rahman A. Alsewari Abdul, Z. Zamli Kamal, Alrosan Ayat, Alomoush Waleed, and Alissa Khalid. "Enhancing three variants of harmony search algorithm for continuous optimization problems." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2343–49. https://doi.org/10.11591/ijece.v11i3.pp2343-2349.

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Meta-heuristic algorithms are well-known optimization methods, for solving real-world optimization problems. Harmony search (HS) is a recognized meta-heuristic algorithm with an efficient exploration process. But the HS has a slow convergence rate, which causes the algorithm to have a weak exploitation process in finding the global optima. Different variants of HS introduced in the literature to enhance the algorithm and fix its problems, but in most cases, the algorithm still has a slow convergence rate. Meanwhile, opposition-based learning (OBL), is an effective technique used to improve the

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12

Fathelrhman, Omer, and Bao Ren Li. "Pipe Displacement by High Order of Accuracy Method." Applied Mechanics and Materials 110-116 (October 2011): 3518–24. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.3518.

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A fluid-structure interaction (FSI) is the interaction of some movable or deformable structure with an internal or surrounding fluid flow. FSI is the essential consideration in the design of many engineering systems; e.g. aircrafts, nuclear and piping system. In this paper firstly the orders of accuracy of finite difference method were tested and secondly two types of algorithms were evaluated to obtain the displacement and transient pressure for pipe conveying fluid under transient condition, From the study it reveals that the fourth order of accuracy is the more compatible for this combinati

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13

Jay, Kishore Sahani, and Kumar Yadav Arvind. "The Bees Algorithms in Optimization: An Overview." MATHEMATICS EDUCATION LV, no. 3, September 2021 (2021): 20–28. https://doi.org/10.5281/zenodo.7275730.

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            Metaheuristic algorithms have become powerful tools for modeling and optimization. In this article, we provide an overview of Bee Algorithms and their applications. We will briefly introduce algorithms such as bee algorithms, virtual bee algorithm, artificial bee algorithm, bee mating algorithm, etc. We also briefly the main characteristics of these algorithms and outline some recent applications of these algorithms. 

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14

Mölders, Marc. "Auf dem Weg zum Subsumtionsautomaten?" Sociologia Internationalis: Volume 56, Issue 2 56, no. 2 (2018): 71–89. http://dx.doi.org/10.3790/sint.56.2.71.

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Algorithmen werden in Gerichten eingesetzt, z. B. zur Rückfälligkeitsvorhersage. Dies ruft Assoziationen zum Subsumtionsautomaten des 19. Jahrhunderts hervor und fügt sich nahtlos in die Kritik des Solutionismus ein, soziale Probleme würden zunehmend technisch gelöst. Die Untersuchung von zwei vielfach verwendeten und diskutierten Beispielen (COMPAS, PSA) zeigt allerdings, dass an entscheidenden Stellen gerade nicht auf Technik gesetzt wird. Um den Algorithmus fair zu gestalten, werden nicht technische Schnittstellen, sondern Beteiligungsformate gefordert. Nicht nur hierfür, sondern an vielen

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15

Ciric, Vladimir, Aleksandar Cvetkovic, Ivan Milentijevic, and Oliver Vojinovic. "All-Pairs Shortest Paths Algorithm for Regular 2D Mesh Topologies." JUCS - Journal of Universal Computer Science 22, no. (11) (2016): 1437–55. https://doi.org/10.3217/jucs-022-11-1437.

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Motivated by the large number of vertices that future technologies will put in the front of path-search algorithms, and inspired by highly regular 2D mesh structures that exist in the domain applications, in this paper we propose a new allpairs shortest paths algorithm, for any given regular 2D mesh topology, with complexity Ο(|V|2), where |V| is the number of vertices in the graph. The proposed algorithm can achieve better runtime than other known algorithms at the cost of narrowing the scope of the graphs that it can process to the graphs with regular 2D topology. The algorithm is developed

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16

Toleushova, A. T., D. M. Uypalakova, and A. B. Imansakipova. "SIGNATURE RECOGNITION ALGORITHMS. BEZIER ALGORITHM." Bulletin of Shakarim University. Technical Sciences, no. 3(7) (February 10, 2023): 47–53. http://dx.doi.org/10.53360/2788-7995-2022-1(5)-7.

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This article focuses on improving the human and machine interface, which should ensure efficient processing of data and knowledge in simple, fast and accessible ways. One of the ways to organize it is the introduction of the manuscript (entering text, drawings, drawings, etc.). Handwritten signatures can be considered as handwritten words, but they are more suitable for drawings, because the signer tries to make his signature unique, using not only his first and last names, but also additional graphic elements. Creating a signature is quite simple, although it is impossible to reproduce the re

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17

Gościniak, Ireneusz, and Krzysztof Gdawiec. "Visual Analysis of Dynamics Behaviour of an Iterative Method Depending on Selected Parameters and Modifications." Entropy 22, no. 7 (2020): 734. http://dx.doi.org/10.3390/e22070734.

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There is a huge group of algorithms described in the literature that iteratively find solutions of a given equation. Most of them require tuning. The article presents root-finding algorithms that are based on the Newton–Raphson method which iteratively finds the solutions, and require tuning. The modification of the algorithm implements the best position of particle similarly to the particle swarm optimisation algorithms. The proposed approach allows visualising the impact of the algorithm’s elements on the complex behaviour of the algorithm. Moreover, instead of the standard Picard iteration,

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18

Beth, T., and D. Gollman. "Algorithm engineering for public key algorithms." IEEE Journal on Selected Areas in Communications 7, no. 4 (1989): 458–66. http://dx.doi.org/10.1109/49.17708.

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19

Omar, Hoger K., Kamal H. Jihad, and Shalau F. Hussein. "Comparative analysis of the essential CPU scheduling algorithms." Bulletin of Electrical Engineering and Informatics 10, no. 5 (2021): 2742–50. http://dx.doi.org/10.11591/eei.v10i5.2812.

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CPU scheduling algorithms have a significant function in multiprogramming operating systems. When the CPU scheduling is effective a high rate of computation could be done correctly and also the system will maintain in a stable state. As well as, CPU scheduling algorithms are the main service in the operating systems that fulfill the maximum utilization of the CPU. This paper aims to compare the characteristics of the CPU scheduling algorithms towards which one is the best algorithm for gaining a higher CPU utilization. The comparison has been done between ten scheduling algorithms with present

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20

Soleimanian Gharehchopogh, Farhad, Awat Maroufi, and Isa Maleki. "AFRP: a new approach in page replacement algorithm with hybird aging and Mamdani fuzzy interface algorithms." International Journal of Academic Research 6, no. 1 (2014): 85–93. http://dx.doi.org/10.7813/2075-4124.2014/6-1/a.11.

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21

Sun, Yuqin, Songlei Wang, Dongmei Huang, Yuan Sun, Anduo Hu, and Jinzhong Sun. "A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped." Intelligent Data Analysis 26, no. 5 (2022): 1211–28. http://dx.doi.org/10.3233/ida-216112.

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As a research hotspot in ensemble learning, clustering ensemble obtains robust and highly accurate algorithms by integrating multiple basic clustering algorithms. Most of the existing clustering ensemble algorithms take the linear clustering algorithms as the base clusterings. As a typical unsupervised learning technique, clustering algorithms have difficulties properly defining the accuracy of the findings, making it difficult to significantly enhance the performance of the final algorithm. AGglomerative NESting method is used to build base clusters in this article, and an integration strateg

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22

Brooks, Stephen P. "Algorithms AS 298: A Hybrid Optimization Algorithm." Applied Statistics 44, no. 4 (1995): 530. http://dx.doi.org/10.2307/2986143.

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23

Jobson, K. "International Psychopharmacology Algorithm Project: Algorithms in Psychopharmacology." International Journal of Psychiatry in Clinical Practice 1, sup1 (1997): S3. http://dx.doi.org/10.3109/13651509709024748.

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24

Chatain, Peter, Rocky Garg, and Lauren Tompkins. "Evolutionary Algorithms for Tracking Algorithm Parameter Optimization." EPJ Web of Conferences 251 (2021): 03071. http://dx.doi.org/10.1051/epjconf/202125103071.

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The reconstruction of charged particle trajectories, known as tracking, is one of the most complex and CPU consuming parts of event processing in high energy particle physics experiments. The most widely used and best performing tracking algorithms require significant geometry-specific tuning of the algorithm parameters to achieve best results. In this paper, we demonstrate the usage of machine learning techniques, particularly evolutionary algorithms, to find high performing configurations for the first step of tracking, called track seeding. We use a track seeding algorithm from the software

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25

RICHARDS, DANA, and JEFFREY S. SALOWE. "MIXED SPANNING TREES IN THEORY AND PRACTICE." International Journal of Computational Geometry & Applications 09, no. 03 (1999): 277–92. http://dx.doi.org/10.1142/s0218195999000194.

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A mixed spanning tree is a tree that seeks to combine the properties of a minimim weight spanning tree and shortest path tree. We concentrate on the problem for complete Euclidean graphs. A survey of prior algorithms is given and several new algorithms are proposed. New analyses of some known algorithms are provided. All the algorithms are compared empirically and it is shown that the algorithms with the best known performance bounds, perform the worst in practice. Evidence is given to support the hypothesis that the performance depends on the algorithm's use of long edges.

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26

Pérez Amorós, Francisco. "¿QUIÉN VIGILA AL ALGORITMO?: LOS DERECHOS DE INFORMACIÓN DE LOS REPRESENTANTES DE LOS REPARTIDORES EN LA EMPRESA SOBRE LOS ALGORITMOS DE LAS PLATAFORMAS DE REPARTO." E-REVISTA INTERNACIONAL DE LA PROTECCION SOCIAL 1, no. 6 (2021): 173–87. http://dx.doi.org/10.12795/e-rips.2021.i01.08.

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Se presentan unas reflexiones sobre el derecho de información de los representantes en la empresa en materia de algoritmos, regulado en el reciente Real Decreto-ley 9/2021, de 11 de mayo, en favor de las personas dedicadas al reparto en el ámbito de plataformas digitales. Al respecto se parte del “Acuerdo de la Mesa de Diálogo Social”, adoptado, el 10 de marzo 2021, entre el Gobierno, CC.OO., UGT y CEOE y CEPYME, y se tiene presente la STS de 25 de septiembre de 2020 sobre la laboralidad de los repartidores. Se comentan los elementos clásicos del nuevo derecho de información: sujetos (emisor y

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27

Li, Shuting. "Research on the Propagation Characteristics of Negative News Information Based on Personalized Recommendation Algorithm." Mathematical Problems in Engineering 2022 (March 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/9692662.

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This article will focus on how to reduce the negative information in the main theme report. Negative information contains subjectivity, deviation, interference, and cancellation characteristics, which will influence the primary theme report's communication effect, interfere with the audience's interpretation of the report, and cancel out the report's positive energy. The original intention of the theme report is to promote social harmony and safeguard social justice, but the appearance of negative information makes the reported effect fail to reach the expected purpose. The concept of theme re

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28

Almazroa, Ahmed, Sami Alodhayb, Kaamran Raahemifar, and Vasudevan Lakshminarayanan. "An Automatic Image Processing System for Glaucoma Screening." International Journal of Biomedical Imaging 2017 (2017): 1–19. http://dx.doi.org/10.1155/2017/4826385.

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Horizontal and vertical cup to disc ratios are the most crucial parameters used clinically to detect glaucoma or monitor its progress and are manually evaluated from retinal fundus images of the optic nerve head. Due to the rarity of the glaucoma experts as well as the increasing in glaucoma’s population, an automatically calculated horizontal and vertical cup to disc ratios (HCDR and VCDR, resp.) can be useful for glaucoma screening. We report on two algorithms to calculate the HCDR and VCDR. In the algorithms, level set and inpainting techniques were developed for segmenting the disc, while

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29

Nikander, Jussi, Juha Helminen, and Ari Korhonen. "Algorithm Visualization System for Teaching Spatial Data Algorithms." Journal of Information Technology Education: Innovations in Practice 9 (2010): 201–25. http://dx.doi.org/10.28945/1305.

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30

Miller, Alexander L., John A. Chiles, Judith K. Chiles, M. Lynn Crismon, A. John Rush, and Steven P. Shon. "The Texas Medication Algorithm Project (TMAP) Schizophrenia Algorithms." Journal of Clinical Psychiatry 60, no. 10 (1999): 649–57. http://dx.doi.org/10.4088/jcp.v60n1002.

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31

Quadri, S. A., and Othman Sidek. "Role of Algorithm Engineering in Data Fusion Algorithms." Journal of Computational Intelligence and Electronic Systems 2, no. 1 (2013): 29–35. http://dx.doi.org/10.1166/jcies.2013.1046.

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32

Tan, Jingwen, Youxin Hu, and Jianqiu Luo. "Social recommendation algorithm based on collaborative filter algorithms." Frontiers in Computing and Intelligent Systems 3, no. 1 (2023): 120–23. http://dx.doi.org/10.54097/fcis.v3i1.6346.

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For traditional collaborative filter recommendation algorithm technology, this paper combines the collaborative filtering recommendation algorithm with the community division technology of social networks, use the Louvain community to divide algorithms, divide the recommendation users to a community of similar users, and use the collaborative filter algorithm based on the user similarity formula within the community to recommend. In order to verify the effectiveness and accuracy of the algorithm in this paper, based on the introduction of the Douban dataset and the evaluation criteria used, a

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33

Shinkarenko, V. I., and O. V. Makarov. "Genetic algorithm for structural adaptation of sorting algorithms." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2024): 11–18. https://doi.org/10.15407/pp2024.02-03.011.

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Constructivism was applied to form the sorting algorithm code. The meta-algorithm of program code generation is presented. Parts of existing sorting algorithms and auxiliary utilities are used for generation. A genetic algorithm was used to select the algorithm with the maximum time efficiency under the given conditions of use. The use of a standard genetic algorithm faces a problem associated with a different number of elementary sorting operations, which leads to the use of chromosomes of diff erent lengths. To solve the problem, a representation of the chromosome in the form of a binary tre

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34

M., Nishidhar Babu, Kiran Y., and Ramesh |. V. Rajendra A. "Tackling Real Coded Genetic Algorithms." International Journal of Trend in Scientific Research and Development 2, no. 1 (2017): 217–23. https://doi.org/10.31142/ijtsrd5905.

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Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc. Genetic algorithms are based on the underlying genetic process in biological organisms and on the natural evolution principles of populations. These algorithms process a population of chromosomes, which represent search space solutions, with three operations selection, crossover and mutation.Under its initial formulation, the search space solutions are coded using the binary alphabet. However, the good properties related with t

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35

Anas, A. Amaireh, I. Dib Nihad, and S. Al-Zoubi Asem. "Synthesis of new antenna arrays with arbitrary geometries based on the superformula." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6228–38. https://doi.org/10.11591/ijece.v12i6.pp6228-6238.

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The synthesis of antenna arrays with low sidelobe levels is needed to enhance the communication systems’ efficiency. In this paper, new arbitrary geometries that improve the ability of the antenna arrays to minimize the sidelobe level, are proposed. We employ the well-known superformula equation in the antenna arrays field by implementing the equation in the general array factor equation. Three metaheuristic optimization algorithms are used to synthesize the antenna arrays and their geometries; antlion optimization (ALO) algorithm, grasshopper optimization algorithm (GOA), and a new hybr

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36

Kovářová, Marie. "Exploring Zero-Day Attacks on Machine Learning and Deep Learning Algorithms." European Conference on Cyber Warfare and Security 23, no. 1 (2024): 241–48. http://dx.doi.org/10.34190/eccws.23.1.2310.

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In the rapidly evolving field of artificial intelligence, machine learning (ML) and deep learning (DL) algorithms have emerged as powerful tools for solving complex problems in various domains, including cyber security. However, as these algorithms become increasingly prevalent, they also face new security challenges. One of the most significant of these challenges is the threat of zero-day attacks, which exploit unknown and unpredictable vulnerabilities in the algorithms or the data they process. This paper provides a comprehensive overview of zero-day attacks on ML/DL algorithms, exploring t

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Jian, X., X. Xiao, H. Chengfang, Z. Zhizhong, W. Zhaohui, and Z. Dengzhong. "A HADOOP-BASED ALGORITHM OF GENERATING DEM GRID FROM POINT CLOUD DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 1209–14. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1209-2015.

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Airborne LiDAR technology has proven to be the most powerful tools to obtain high-density, high-accuracy and significantly detailed surface information of terrain and surface objects within a short time, and from which the Digital Elevation Model of high quality can be extracted. Point cloud data generated from the pre-processed data should be classified by segmentation algorithms, so as to differ the terrain points from disorganized points, then followed by a procedure of interpolating the selected points to turn points into DEM data. The whole procedure takes a long time and huge computing r

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Moret, Bernard M. E., and Henry D. D. Shapiro. "Algorithms and Experiments: The New (and Old) Methodology." JUCS - Journal of Universal Computer Science 7, no. (5) (2001): 434–46. https://doi.org/10.3217/jucs-007-05-0434.

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The last twenty years have seen enormous progress in the design of algorithms, but little of it has been put into practice. Because many recently developed algorithms are hard to characterize theoretically and have large running_time coefficients, the gap between theory and practice has widened over these years. Experimentation is indispensable in the assessment of heuristics for hard problems, in the characterization of asymptotic behavior of complex algorithms, and in the comparison of competing designs for tractable problems. Implementation, although perhaps not rigorous experimentation, wa

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39

Akbarpour, Mohammad, Scott Duke Kominers, Kevin Michael Li, Shengwu Li, and Paul Milgrom. "Algorithmic Mechanism Design With Investment." Econometrica 91, no. 6 (2023): 1969–2003. http://dx.doi.org/10.3982/ecta19559.

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We study the investment incentives created by truthful mechanisms that allocate resources using approximation algorithms. Some approximation algorithms guarantee nearly 100% of the optimal welfare in the allocation problem but guarantee nothing when accounting for investment incentives. An algorithm's allocative and investment guarantees coincide if and only if its confirming negative externalities are sufficiently small. We introduce fast approximation algorithms for the knapsack problem that have no confirming negative externalities and guarantees close to 100% for both allocation and invest

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40

Nagaraj, S. V. "Review of The Age of Algorithms by Serge Abiteboul and Gilles Dowek." ACM SIGACT News 52, no. 4 (2021): 15–17. http://dx.doi.org/10.1145/3510382.3510387.

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This book is about algorithms and their enormous influence on people in the current age. Algorithms are precise sets of rules to solve problems. They are ubiquitous and have a great effect on the lives of contemporary people, primarily due to technological advancement. A common example is searching for information using an Internet search engine such as Google. This book is not technical in nature and was first published in French as Le Temps des Algorithmes, by ´ Editions Le Pommier in 2020. The authors Serge Abiteboul and Gilles Dowek are computer scientists, with Institut National de Recher

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41

Singh, Amrit Pal, Chetna Gupta, Rashpal Singh, and Nandini Singh. "A Comparative Analysis of Evolutionary Algorithms for Data Classification Using KEEL Tool." International Journal of Swarm Intelligence Research 12, no. 1 (2021): 17–28. http://dx.doi.org/10.4018/ijsir.2021010102.

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Evolutionary algorithms are inspired by the biological model of evolution and natural selection and are used to solve computationally hard problems, also known as NP-hard problems. The main motive to use these algorithms is their robust and adaptive nature to provide best search techniques for complex problems. This paper presents a comparative analysis of classification of algorithm's family instead of algorithms comparison using KEEL tool. This work compares SSMA-C, DROP3PSO-C, FURIA-C, GFS-MaxLogitBoost-Cand CPSO-C algorithms. Further, these selected evolutionary algorithms are compared aga

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Lazovskaya, Tatiana, Dmitriy Tarkhov, Maria Chistyakova, Egor Razumov, Anna Sergeeva, and Tatiana Shemyakina. "Evolutionary PINN Learning Algorithms Inspired by Approximation to Pareto Front for Solving Ill-Posed Problems." Computation 11, no. 8 (2023): 166. http://dx.doi.org/10.3390/computation11080166.

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The article presents the development of new physics-informed evolutionary neural network learning algorithms. These algorithms aim to address the challenges of ill-posed problems by constructing a population close to the Pareto front. The study focuses on comparing the algorithm’s capabilities based on three quality criteria of solutions. To evaluate the algorithms’ performance, two benchmark problems have been used. The first involved solving the Laplace equation in square regions with discontinuous boundary conditions. The second problem considered the absence of boundary conditions but with

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43

Agapie, Alexandru. "Theoretical Analysis of Mutation-Adaptive Evolutionary Algorithms." Evolutionary Computation 9, no. 2 (2001): 127–46. http://dx.doi.org/10.1162/106365601750190370.

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Adaptive evolutionary algorithms require a more sophisticated modeling than their static-parameter counterparts. Taking into account the current population is not enough when implementing parameter-adaptation rules based on success rates (evolution strategies) or on premature convergence (genetic algorithms). Instead of Markov chains, we use random systems with complete connections - accounting for a complete, rather than recent, history of the algorithm's evolution. Under the new paradigm, we analyze the convergence of several mutation-adaptive algorithms: a binary genetic algorithm, the 1/5

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44

Castelo, Noah, Maarten W. Bos, and Donald Lehmann. "Let the Machine Decide: When Consumers Trust or Distrust Algorithms." NIM Marketing Intelligence Review 11, no. 2 (2019): 24–29. http://dx.doi.org/10.2478/nimmir-2019-0012.

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AbstractThanks to the rapid progress in the field of artificial intelligence algorithms are able to accomplish an increasingly comprehensive list of tasks, and often they achieve better results than human experts. Nevertheless, many consumers have ambivalent feelings towards algorithms and tend to trust humans more than they trust machines. Especially when tasks are perceived as subjective, consumers often assume that algorithms will be less effective, even if this belief is getting more and more inaccurate.To encourage algorithm adoption, managers should provide empirical evidence of the algo

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45

Belazi, Akram, Héctor Migallón, Daniel Gónzalez-Sánchez, Jorge Gónzalez-García, Antonio Jimeno-Morenilla, and José-Luis Sánchez-Romero. "Enhanced Parallel Sine Cosine Algorithm for Constrained and Unconstrained Optimization." Mathematics 10, no. 7 (2022): 1166. http://dx.doi.org/10.3390/math10071166.

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The sine cosine algorithm’s main idea is the sine and cosine-based vacillation outwards or towards the best solution. The first main contribution of this paper proposes an enhanced version of the SCA algorithm called as ESCA algorithm. The supremacy of the proposed algorithm over a set of state-of-the-art algorithms in terms of solution accuracy and convergence speed will be demonstrated by experimental tests. When these algorithms are transferred to the business sector, they must meet time requirements dependent on the industrial process. If these temporal requirements are not met, an efficie

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46

Brown, Shea, Jovana Davidovic, and Ali Hasan. "The algorithm audit: Scoring the algorithms that score us." Big Data & Society 8, no. 1 (2021): 205395172098386. http://dx.doi.org/10.1177/2053951720983865.

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In recent years, the ethical impact of AI has been increasingly scrutinized, with public scandals emerging over biased outcomes, lack of transparency, and the misuse of data. This has led to a growing mistrust of AI and increased calls for mandated ethical audits of algorithms. Current proposals for ethical assessment of algorithms are either too high level to be put into practice without further guidance, or they focus on very specific and technical notions of fairness or transparency that do not consider multiple stakeholders or the broader social context. In this article, we present an audi

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47

Качко, О. Г., Ю. І. Горбенко, В. А. Пономар, М. В. Єсіна, and С. О. Кандій. "Optimization of polynomial multiplication algorithm for NTRU-like algorithms." Radiotekhnika 1, no. 200 (2020): 15–24. http://dx.doi.org/10.30837/rt.2020.1.200.02.

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48

Bancerek, Grzegorz. "Analysis of Algorithms: An Example of a Sort Algorithm." Formalized Mathematics 21, no. 1 (2013): 1–23. http://dx.doi.org/10.2478/forma-2013-0001.

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49

Teng, Hualiang(Harry), Yi(Grace) Qi, and David R. Martinelli. "Developed Incident Detection Algorithm Compared with Neural Network Algorithms." Transportation Research Record: Journal of the Transportation Research Board 1836, no. 1 (2003): 83–92. http://dx.doi.org/10.3141/1836-11.

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The CUSUM (cumulative sum of log-likelihood ratio) algorithm is an optimization-based algorithm that is attractive for many applications because it can minimize detection delay and can explicitly incorporate the characteristics of processes before and after changes. One such application is freeway incident detection, where field-measurable traffic-flow parameters are used to flag incidents in real time in an expedient and reliable manner. In the presented study, the special characteristics of traffic processes associated with incidents are incorporated into the CUSUM algorithm for freeway inci

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Karteeka Pavan, Allam Appa Rao, Dattatreya Rao, and Sridhar. "Robust seed selection algorithm for k-means type algorithms." International Journal of Computer Science and Information Technology 3, no. 5 (2011): 147–63. http://dx.doi.org/10.5121/ijcsit.2011.3513.

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