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  1. 1901
  2. 1902

    Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

    Published 2025-06-01
    “…Specifically, we propose an optimization algorithm based on Differential Evolution (DE) that adjusts anchor scales and ratios while determining the most appropriate number of these parameters for each dataset based on the annotated data. …”
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    Article
  3. 1903

    Aerodynamic analysis and ANN-based optimization of NACA airfoils for enhanced UAV performance by Sanan H. Khan, Mohd Danish, Md. Ayaz, Afsar Husain, Shamma Saeed, Shamma Abdulla, Shama Shaheen, Alia Saeed, Ahmed Thaher

    Published 2025-04-01
    “…Overall, this study highlighted the potential of combining computational techniques and machine- learning models to optimize UAV airfoil designs. …”
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    Article
  4. 1904

    Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

    Published 2025-08-01
    “…In this paper, an enhanced assistive Technology for Blind People through Object Detection Using a Hiking optimization algorithm (EATBP-ODHOA) technique is proposed. …”
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    Article
  5. 1905
  6. 1906
  7. 1907

    Arithmetic coder optimization for compressing images obtained through remote probing of water bodies by R. V. Arzumanyan

    Published 2019-04-01
    “…At this, the software algorithm of the arithmetic coder was optimized; a theoretical study was conducted; and a computational experiment was performed.Research Results. …”
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    Article
  8. 1908
  9. 1909

    Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods by Seong-Hyeon Kang, Kyuseok Kim, Jina Shim, Youngjin Lee

    Published 2025-04-01
    “…We optimized a non-local means (NLM) algorithm using the coefficient of variation and contrast-to-noise ratio. …”
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    Article
  10. 1910
  11. 1911
  12. 1912
  13. 1913

    Optimization of energy balances of a photovoltaic power plant with electrochemical and thermal storage of solar energy by B. V. Lukutin, Kadhim Karrar Hameed

    Published 2022-06-01
    “…An optimal algorithm for the conditions under study is proposed for the operation of the solar energy supply system and its elements. …”
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    Article
  14. 1914

    Hybrid Renewable Energy Systems—A Review of Optimization Approaches and Future Challenges by Akvile Giedraityte, Sigitas Rimkevicius, Mantas Marciukaitis, Virginijus Radziukynas, Rimantas Bakas

    Published 2025-02-01
    “…Using comprehensive methodologies, the review examines state-of-the-art algorithms such as Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II), alongside Crow Search Algorithm (CSA), Grey Wolf Optimizer (GWO), Levy Flight-Salp Swarm Algorithm (LF-SSA), Mixed-Integer Linear Programming (MILP) and tools like HOMER Pro 3.12–3.16 and MATLAB 9.1–9.13, which have been instrumental in optimizing HRESs. …”
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  15. 1915
  16. 1916
  17. 1917
  18. 1918
  19. 1919

    You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization by Mohamed Shili, Osama Sohaib, Salah Hammedi

    Published 2024-11-01
    “…By leveraging these algorithms, stores can track customer behavior, identify popular products, and monitor high-traffic areas, enabling businesses to adapt quickly to customer preferences and optimize store layout and inventory management. …”
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    Article
  20. 1920

    Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

    Published 2025-02-01
    “…The refined Particle Swarm Optimization algorithm is applied to optimize the parameters of the BiLSTM network, enabling a rapid convergence and enhancing the training efficiency, thus effectively identifying the categories of network attacks. …”
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    Article