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Showing 1 - 20 results of 2,316 for search '(((( experiments ii algorithm ) OR ( element finding algorithm ))) OR ( neural coding algorithm ))', query time: 0.65s Refine Results
  1. 1
    The model successfully identified the motion structure in experiments I and II.

    The model successfully identified the motion structure in experiments I and II. by Elnaz Nemati (21402730)

    Published 2025
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  2. 2
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  3. 3
    Analysis of algorithm improvement ablation experiments.

    Analysis of algorithm improvement ablation experiments. by Chenghai Yu (21440036)

    Published 2025
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  4. 4
    Results of using the algorithm to find the chemical constituents for compounds using dual energy and mass attenuation coefficient.

    Results of using the algorithm to find the chemical constituents for compounds using dual energy and mass attenuation coefficient. by Dong Hyeok Choi (12562048)

    Published 2025
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  5. 5
    Results of using the algorithm to find the chemical constituents for mixtures using dual energy and mass attenuation coefficient.

    Results of using the algorithm to find the chemical constituents for mixtures using dual energy and mass attenuation coefficient. by Dong Hyeok Choi (12562048)

    Published 2025
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  6. 6
    Algorithm comparison experiment on the RSOD dataset.

    Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

    Published 2025
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  7. 7
    Basic parameters of the algorithm in the experiment.

    Basic parameters of the algorithm in the experiment. by Kejia Liu (5699651)

    Published 2025
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  8. 8
    Algorithm optimization experiment matrix.

    Algorithm optimization experiment matrix. by Gabriel Galeote-Checa (20613878)

    Published 2025
    “…<p>Optimization matrix for the two algorithms. Combinations for each of the parameters of the algorithm and experiments.…”
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  9. 9
    The comparison experiment with state-of-the-art algorithms.

    The comparison experiment with state-of-the-art algorithms. by Manlin Zhu (21354237)

    Published 2025
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  10. 10
    The comparison experiment of YOLO series algorithms.

    The comparison experiment of YOLO series algorithms. by Manlin Zhu (21354237)

    Published 2025
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  11. 11
    Results of comparison experiments with existing algorithms.

    Results of comparison experiments with existing algorithms. by Teh Noranis Mohd Aris (22600931)

    Published 2025
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  12. 12
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  13. 13
    Ablation experiment for the micro-localization algorithm model.

    Ablation experiment for the micro-localization algorithm model. by Zhongjian Xie (4633099)

    Published 2024
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  14. 14
    Ablation experiment for the macro-detection algorithm model.

    Ablation experiment for the macro-detection algorithm model. by Zhongjian Xie (4633099)

    Published 2024
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  15. 15
    Performance comparison experiments with mainstream object detection algorithms.

    Performance comparison experiments with mainstream object detection algorithms. by Dongshan Jiang (21866339)

    Published 2025
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  16. 16
    Tasks, algorithms, and sample requirements in the comparison experiments.

    Tasks, algorithms, and sample requirements in the comparison experiments. by Teh Noranis Mohd Aris (22600931)

    Published 2025
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  17. 17
    Algorithm comparison experiment on the NWPU VHR-10 dataset.

    Algorithm comparison experiment on the NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
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  18. 18
    The result of RRT* for experiment 2.

    The result of RRT* for experiment 2. by Naeem Ul Islam (19837966)

    Published 2024
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  19. 19
    Parameters of NSGA-II algorithm.

    Parameters of NSGA-II algorithm. by Shangyang Jin (21772466)

    Published 2025
    “…This strategy combines the design of experiments (DOE), genetic algorithm (GA), and NLPQL algorithm, which is referred to as the DGN method. …”
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  20. 20
    The result of RE-RRT* for experiment 2.

    The result of RE-RRT* for experiment 2. by Naeem Ul Islam (19837966)

    Published 2024
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