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Showing 1 - 20 results of 9,546 for search '(( relevant data algorithm ) OR ((( query processing algorithm ) OR ( data modelling algorithm ))))', query time: 0.46s Refine Results
  1. 1
    Data generation algorithm.

    Data generation algorithm. by Aluwani Ramalata (21262977)

    Published 2025
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  2. 2
    Genetic Algorithm IQA Data

    Genetic Algorithm IQA Data by Michael Anastasios Mardikes (21762611)

    Published 2025
    Subjects: “…Modelling and simulation…”
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  3. 3
    Comparison of the EODA algorithm with existing algorithms in terms of recall.

    Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

    Published 2025
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  4. 4
    Comparison of the EODA algorithm with existing algorithms in terms of precision.

    Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

    Published 2025
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  5. 5
    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score.

    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

    Published 2025
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  6. 6
    Model-relevant variable data for external patients.

    Model-relevant variable data for external patients. by Lei Gao (6566)

    Published 2025
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  7. 7
    The relevant code in the manuscript can be found in the supporting information data file.

    The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

    Published 2025
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  8. 8
    The proposed algorithm of the outlier detection method.

    The proposed algorithm of the outlier detection method. by Sunil Kumar (102321)

    Published 2025
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  9. 9
    Structure of the Kuhn-Munkres Algorithm.

    Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

    Published 2025
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  10. 10
    The AUC of each model was calculated using 113 ML algorithm.

    The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

    Published 2025
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  11. 11
    Relevant data underlying the findings described in manuscript.

    Relevant data underlying the findings described in manuscript. by Lin Qi (128224)

    Published 2025
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  12. 12
    User satisfaction scores for different algorithms.

    User satisfaction scores for different algorithms. by Qingnan Ji (22662198)

    Published 2025
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  13. 13
    Performance of different machine learning algorithms.

    Performance of different machine learning algorithms. by Apichat Suratanee (634281)

    Published 2024
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  14. 14
    Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf

    Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)

    Published 2025
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  15. 15
    Illustration of the Noisy Student algorithm proposed by [30].

    Illustration of the Noisy Student algorithm proposed by [30]. by Martin Wutke (19786999)

    Published 2024
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  16. 16
    Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is added to the track queries to get noised track queries. For Query Denoising (QD), random noise is added to the ground truth bounding boxes to generate noised track queries. All queries are processed together by the decoder. Attention masks are used to prevent information leakage between the object and track queries, the noised track queries generated from TGD, and the noised track queries generated from QD. The gray boxes indicate information being blocked between sets of queries while colored boxes indicate the flow of information.

    Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... by Owen M. O’Connor (11965460)

    Published 2025
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  17. 17
    Cells are initially detected in frame t<sub>0</sub> and then tracked to frame t<sub>1</sub>. Object queries are processed in the first layer of the decoder for object detection. In the subsequent decoder layers, track queries are concatenated with the object queries to perform tracking.

    Cells are initially detected in frame t<sub>0</sub> and then tracked to frame t<sub>1</sub>. Object queries are processed in the first layer of the decoder for object detection. In... by Owen M. O’Connor (11965460)

    Published 2025
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  18. 18
    Flow chart of improved annealing genetic synthesis algorithm.

    Flow chart of improved annealing genetic synthesis algorithm. by Wanjun Zhang (496858)

    Published 2025
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  19. 19
    The frequency of MRGs observed in the 113 algorithm combinations(A).

    The frequency of MRGs observed in the 113 algorithm combinations(A). by Xuefen Lin (17785367)

    Published 2025
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  20. 20
    Number of tweets collected per query and type.

    Number of tweets collected per query and type. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”
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