Showing 1 - 20 results of 19,396 for search '(( algorithm step function ) OR ( ((algorithm python) OR (algorithms _)) function ))*', query time: 0.57s Refine Results
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    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
    “…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
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    Performance profiles of these algorithms on the basis of the number of function evaluations. by Xianfeng Ding (535904)

    Published 2021
    “…<p>Performance profiles of these algorithms on the basis of the number of function evaluations.…”
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    Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)

    Published 2025
    “…<div><p>Physical fitness refers to the health of all body functions, including cardiorespiratory endurance, muscle strength, flexibility, stamina, and body composition, which can help individuals effectively cope with daily activities and sports challenges. …”
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    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…In `main.py`, the parameters for the TAMS algorithm are specified (trajectory time, time step, score function, number of particles, type of score threshold, maximum number of iterations, noise level etc.). …”
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    Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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    Performance comparison of different algorithms. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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    Schematic diagram of RRT-Connect algorithm expansion. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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    Comparison of algorithm search curves. by Bowen Li (200859)

    Published 2023
    “…Finally, through dynamic adaptive cuckoo search (DACS), the step size is automatically adjusted according to the convergence speed of the objective function of RBF, and the efficiency and accuracy of RBF in different search stages are balanced. …”
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