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  1. 701
  2. 702

    Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

    Published 2025-04-01
    “…Initially, the K-Means clustering algorithm is applied to group countries into four main clusters representing distinct happiness levels based on their socioeconomic profiles. …”
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    Article
  3. 703

    Track Detection Algorithm Based on Trace Correlation Using Hough Transform by A. A. Monakov

    Published 2023-05-01
    “…Track detection is one of the main tasks to be solved in trajectory processing. …”
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    Article
  4. 704

    Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System by Monsurat Omolara Balogun, Latifat Adeola Odeniyi, Elijah Olusola Omidiora, Stephen Olatunde Olabiyisi, Adeleye Samuel Falohun

    Published 2023-04-01
    “…The Negative Selection Algorithm (NSA) is one of the major algorithms of the Artificial Immune System, inspired by the operation of the mammalian immune system for solving classification problems. …”
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    Article
  5. 705

    Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm by Mohammad Naebi, Eshaghali Saberi, Sirous Risbaf Fakour, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Somayeh Ansari Moghadam, Elham Bozorgmehr, Nasim Davtalab Behnam, Hamidreza Azimi

    Published 2016-01-01
    “…In recent years, it is possible to implement intelligent processing of images by high efficiency optimization algorithms in many applications especially for detection of dental caries and restoration without human intervention. …”
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    Article
  6. 706

    Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

    Published 2013-03-01
    “…Then find Eigen vector by using Jacobs’s method and this represents the highest value in Eigen vector. The algorithm was applied on many groups of multispectral image for the Mapper sensor. …”
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    Article
  7. 707

    Image Matching Algorithm for Transmission Towers Based on CLAHE and Improved RANSAC by Ruihua Chen, Pan Yao, Shuo Wang, Chuanlong Lyu, Yuge Xu

    Published 2025-05-01
    “…To address the lack of robustness against illumination and blurring variations in aerial images of transmission towers, an improved image matching algorithm for aerial images is proposed. The proposed algorithm consists of two main components: an enhanced AKAZE algorithm and an improved three-stage feature matching strategy, which are used for feature point detection and feature matching, respectively. …”
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    Article
  8. 708

    The Application of Tree-Based Algorithms on Classifying Shunting Yard Departure Status by Niloofar Minbashi, Markus Bohlin, Carl-William Palmqvist, Behzad Kordnejad

    Published 2021-01-01
    “…Shunting yards are one of the main areas impacting the reliability of rail freight networks, and delayed departures from shunting yards can further also affect the punctuality of mixed-traffic networks. …”
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    Article
  9. 709

    Optimization of well locations in tight oil reservoir based on genetic algorithm by Zahraa A. Al-Sadi, Dhifaf J. Sadeq, Modhar Khan

    Published 2025-03-01
    “…This study employed the Genetic Algorithm as the main optimization engine due to its effectiveness in solving multidimensional and nonlinear problems. …”
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    Article
  10. 710

    A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals by Vladimir Atanasoski, Jovana Petrovic, Lana Popovic Maneski, Marjan Miletic, Milos Babic, Aleksandra Nikolic, Dorin Panescu, Marija D. Ivanovic

    Published 2024-01-01
    “…The existing EMG-denoising algorithms often distort signal morphology, thus obscuring diagnostically relevant information. …”
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    Article
  11. 711

    Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

    Published 2024-12-01
    “…An unknown number and quality of potential behavioral models, non-efficient utilization of memory and processing units, and a large amount of data are the main difficulties developers could meet. Besides, the suitability of clustering algorithms for the task highly depends on the characteristics of datasets and still requires additional research. …”
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    Article
  12. 712

    Didactic potential of using systems for visualization of algorithms in the process of teaching programming by V. D. Moglan

    Published 2019-05-01
    “…The article discusses the functional requirements for the visualizer of algorithms, describes its main elements and guidelines for the use of visualizers of algorithms in the educational process. …”
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    Article
  13. 713

    NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm by Chao Chen, Weidong Bao, Tong Men, Xiaomin Zhu, Ji Wang, Rui Wang

    Published 2020-01-01
    “…The advancement of UAV technology makes the use of UAVs more and more widespread, and the swarm is the main mode of UAV applications owing to its robustness and adaptability. …”
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    Article
  14. 714

    Performance improvement of data offloading using Krill herd optimization algorithm by Maryam Jawad Kadhim, Rasool Sadeghi, Ahmad Shaker Abdalrada, Behdad Arandian, Reihaneh Khorsand

    Published 2025-03-01
    “…Two optimization algorithms are proposed to solve the problem: the Krill Herd Algorithm (KHA) and the Greedy algorithm. …”
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    Article
  15. 715

    Systematic Review of Phase Aberration Correction Algorithms for Transcranial Focused Ultrasound by Mingyu Wang, Zhouyang Xu, Bingbing Cheng

    Published 2025-02-01
    “…The phase correction algorithms involved two main steps: acoustic field estimation and transmitted pulse adjustment. …”
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    Article
  16. 716

    Retracted: Image Target Detection Algorithm of Smart City Management Cases by Ping Tan, Kedun Mao, Sheng Zhou

    Published 2020-01-01
    “…The ultra-spectral target detection algorithm extracts some content indicators from the initial data, and finally realizes the optimization of the algorithm. …”
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    Article
  17. 717

    ICP Enhancement Algorithm for 6D Pose Tracking of Household Objects by Hyunho Hwang, Hyunsoo Shin, Ji-Hun Bae, Sungon Lee

    Published 2025-01-01
    “…Our main contribution can be summarized in three ways: usage of RGB keypoints for obtaining initial pose, refinement approach for dealing with flat or rotationally symmetric objects, and self-recovery algorithm under tracking failure. …”
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  18. 718

    Algorithm and mathematical model for geometric positioning of segments on aspherical composite mirror by B. Conquet, L. F. Zambrano, N. K. Artyukhina, R. V. Fiodоrtsev, A. R. Silie

    Published 2018-09-01
    “…In recent years, the largest terrestrial and orbital telescopes operating in a wide spectral range of wavelengths use the technology of segmented composite elements to form the main mirror. This approach allows: to expand the spectral operating range from 0.2 to 11.0 μm and to increase the diameter of the entrance pupil of the receiving optical system, while maintaining the optimal value of the exponent mS– mass per unit area.Two variants of adjusting the position of mirror segments are considered when forming an aspherical surface of the second order, with respect to the base surface of the nearest sphere, including geometrical and opto-technical positioning.The purpose of the research was to develop an algorithm for solving the problem of geometric positioning of hexagonal segments of a mirror telescope, constructing an optimal circuit for traversing elements when aligning to the nearest radius to an aspherical surface, and also to program the output calculation parameters to verify the adequacy of the results obtained.Various methods for forming arrays from regular hexagonal segments with equal air gaps between them are considered. …”
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  19. 719

    A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

    Published 2024-11-01
    “…We employed the recursive feature elimination (RFE) and dynamic principal component analysis (DPCA) algorithms for feature selection and extraction. In addition, we applied the Auto-encoded genetic recurrent neural network (AGRNN) approach to identify abnormalities. …”
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  20. 720