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Showing 1 - 20 results of 2,815 for search 'models present algorithm', query time: 0.19s Refine Results
  1. 1
    Presents the comparison of various density based algorithms.

    Presents the comparison of various density based algorithms. by Shahneela Pitafi (20454775)

    Published 2024
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  2. 2
    Comparison of PDOP values between the present algorithm and the conventional algorithm at 1/4 r/s.

    Comparison of PDOP values between the present algorithm and the conventional algorithm at 1/4 r/s. by Jiahui Gan (22793753)

    Published 2025
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  3. 3
    Comparison of the quantity of stars accessible for localization at 1/4 r/s between the presented algorithm and the conventional algorithm.

    Comparison of the quantity of stars accessible for localization at 1/4 r/s between the presented algorithm and the conventional algorithm. by Jiahui Gan (22793753)

    Published 2025
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  4. 4
    The algorithm for the Transformer-DN model.

    The algorithm for the Transformer-DN model. by Liang Na (22226855)

    Published 2025
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  5. 5
    The algorithm of the AWGE-ESPCA model.

    The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

    Published 2025
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  6. 6
    R file for the elementary computations presented in Section 3.

    R file for the elementary computations presented in Section 3. by Jürgen Kampf (21354027)

    Published 2025
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  7. 7
    Comparison of the optimal solutions between analytical model and genetic algorithm.

    Comparison of the optimal solutions between analytical model and genetic algorithm. by Silvia Merdikawati (20298266)

    Published 2024
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  8. 8
    Data set presentation.

    Data set presentation. by Wenguang Li (6528113)

    Published 2024
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  9. 9
    Results obtained from the supervised machine learning regression-based algorithms in the present work.

    Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

    Published 2025
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  10. 10
    Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm.

    Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

    Published 2025
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  11. 11
    Algorithmic flow chart highlighting a possible path of NGM behavior under sequential-presentation.

    Algorithmic flow chart highlighting a possible path of NGM behavior under sequential-presentation. by Spencer Caplan (10188380)

    Published 2025
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  12. 12
    Algorithmic flow chart highlighting a possible path of NGM behavior under parallel-presentation.

    Algorithmic flow chart highlighting a possible path of NGM behavior under parallel-presentation. by Spencer Caplan (10188380)

    Published 2025
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  13. 13
    Summary of Experimental Setup, which presents the hardware configuration, model training parameters, and key settings for the path planning algorithm.

    Summary of Experimental Setup, which presents the hardware configuration, model training parameters, and key settings for the path planning algorithm. by Yan Chen (4308)

    Published 2025
    “…<p>Summary of Experimental Setup, which presents the hardware configuration, model training parameters, and key settings for the path planning algorithm.…”
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  14. 14
    Surface plots of the used Physics machine learning models in the present work.

    Surface plots of the used Physics machine learning models in the present work. by Akshansh Mishra (21001499)

    Published 2025
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  15. 15
    Contour Plot of Physics machine learning models used in the present work.

    Contour Plot of Physics machine learning models used in the present work. by Akshansh Mishra (21001499)

    Published 2025
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  16. 16
    R file for the simulation of the mean values presented in Section 4.1.

    R file for the simulation of the mean values presented in Section 4.1. by Jürgen Kampf (21354027)

    Published 2025
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  17. 17
    R file for the simulation of the logistic regression presented in Section 4.4.

    R file for the simulation of the logistic regression presented in Section 4.4. by Jürgen Kampf (21354027)

    Published 2025
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  18. 18
    R file for the simulation of the mean values presented in Section 4.1.

    R file for the simulation of the mean values presented in Section 4.1. by Jürgen Kampf (21354027)

    Published 2025
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  19. 19
    R file for the simulation of the linear regression presented in Section 4.3.

    R file for the simulation of the linear regression presented in Section 4.3. by Jürgen Kampf (21354027)

    Published 2025
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  20. 20
    R file for the (co)variances of the real data presented in Section 3.

    R file for the (co)variances of the real data presented in Section 3. by Jürgen Kampf (21354027)

    Published 2025
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