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Showing 1 - 20 results of 383 for search '(( binary apc codon optimization algorithm ) OR ( use change processes optimization algorithm ))', query time: 0.60s Refine Results
  1. 1
    Optimization of image processing algorithms.

    Optimization of image processing algorithms. by Honghai Kuang (14883375)

    Published 2023
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  2. 2
    Algorithm optimization process.

    Algorithm optimization process. by Zhihao Li (359073)

    Published 2025
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  3. 3
    Different indexes change in ASBOA optimization process.

    Different indexes change in ASBOA optimization process. by Qingwen Meng (156386)

    Published 2025
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  4. 4
    Dataset used for Coupling Deep Abstract Networks and Metaheuristic Optimization Algorithms for A Multi-Hazard Assessment of Wildfire and Drought

    Dataset used for Coupling Deep Abstract Networks and Metaheuristic Optimization Algorithms for A Multi-Hazard Assessment of Wildfire and Drought by Jinping Liu (536843)

    Published 2025
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  5. 5
    Algorithm factor level change curve.

    Algorithm factor level change curve. by Kuiyuan Pan (21145338)

    Published 2025
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  6. 6
    Percentage rate in the design variable changes and the design variable bounds used in the optimization process. The specific quantities are indicated with .

    Percentage rate in the design variable changes and the design variable bounds used in the optimization process. The specific quantities are indicated with . by Roberto Castro-Medina (21484990)

    Published 2025
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  7. 7
    BM3D algorithmic process.

    BM3D algorithmic process. by Xiyu Zheng (21703063)

    Published 2025
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  8. 8
    Change of bit error rate before and after DNN optimization.

    Change of bit error rate before and after DNN optimization. by Hui Zhao (7395)

    Published 2025
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  9. 9
    List of feature selection methods used in the voting algorithm.

    List of feature selection methods used in the voting algorithm. by Mahmoud Zeydabadinezhad (12289570)

    Published 2023
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  10. 10
    Pre-optimization iteration process.

    Pre-optimization iteration process. by Meilin Zhu (688698)

    Published 2025
    “…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
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  11. 11
    Comparison of deconvolution and optimization algorithms on a batch of data.

    Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

    Published 2021
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  12. 12
    Time windows used to loudness change calculation, shown in gray.

    Time windows used to loudness change calculation, shown in gray. by Ava Souaille (17721138)

    Published 2024
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  13. 13
    Feature selection algorithm.

    Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

    Published 2023
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  14. 14
    Algorithms runtime comparison.

    Algorithms runtime comparison. by Meilin Zhu (688698)

    Published 2025
    “…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
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  15. 15
    Improve algorithm settings.

    Improve algorithm settings. by Hui Zhao (7395)

    Published 2025
    “…This study proposes an intelligent anti-interference algorithm that combines deep neural networks and game theory, and constructs a model based on near-end strategy optimization. …”
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  16. 16
    The change of fitness value with interference noise.

    The change of fitness value with interference noise. by Hui Zhao (7395)

    Published 2025
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  17. 17
    DEA process.

    DEA process. by Tao Dong (15551)

    Published 2025
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  18. 18
    Data_Sheet_1_Optimizing ensembles machine learning, genetic algorithms, and multivariate modeling for enhanced prediction of maize yield and stress tolerance index.docx

    Data_Sheet_1_Optimizing ensembles machine learning, genetic algorithms, and multivariate modeling for enhanced prediction of maize yield and stress tolerance index.docx by Muhammad Azrai (17891894)

    Published 2024
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  19. 19
    Solution results of different algorithms.

    Solution results of different algorithms. by Meilin Zhu (688698)

    Published 2025
    “…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
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  20. 20
    Improvements to the MDEA process.

    Improvements to the MDEA process. by Tao Dong (15551)

    Published 2025
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