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Showing 1 - 20 results of 9,391 for search '(( movement data algorithm ) OR ((( query processing algorithm ) OR ( data modeling algorithm ))))', query time: 0.60s Refine Results
  1. 1
    S1 Data -

    S1 Data - by Zhengyu Xu (8550660)

    Published 2025
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  2. 2
    Firefly optimization algorithm flowchart.

    Firefly optimization algorithm flowchart. by Zhengyu Xu (8550660)

    Published 2025
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  3. 3
    Comparison of inversion results for measured data.

    Comparison of inversion results for measured data. by Zhengyu Xu (8550660)

    Published 2025
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  4. 4
    The curve of FA algorithm inversion results under the overburden layer model.

    The curve of FA algorithm inversion results under the overburden layer model. by Zhengyu Xu (8550660)

    Published 2025
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  5. 5
    The curve of PSO algorithm inversion results under the overburden layer model.

    The curve of PSO algorithm inversion results under the overburden layer model. by Zhengyu Xu (8550660)

    Published 2025
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  6. 6
    The contrast curve of the algorithm convergence characteristics.

    The contrast curve of the algorithm convergence characteristics. by Zhengyu Xu (8550660)

    Published 2025
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  7. 7
    Particle swarm optimization algorithm flowchart.

    Particle swarm optimization algorithm flowchart. by Zhengyu Xu (8550660)

    Published 2025
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  8. 8
    The curve of PSO-IFAH algorithm inversion results under the overburden layer model.

    The curve of PSO-IFAH algorithm inversion results under the overburden layer model. by Zhengyu Xu (8550660)

    Published 2025
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  9. 9
    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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  10. 10
    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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  11. 11
    The table of inversion results of AQ type geoelectric model with no noise.

    The table of inversion results of AQ type geoelectric model with no noise. by Zhengyu Xu (8550660)

    Published 2025
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  12. 12
    The table of inversion result of AQ type geoelectric model with 10% noise.

    The table of inversion result of AQ type geoelectric model with 10% noise. by Zhengyu Xu (8550660)

    Published 2025
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  13. 13
    The inversion results and curve of the objective function of the G-type geoelectric model.

    The inversion results and curve of the objective function of the G-type geoelectric model. by Zhengyu Xu (8550660)

    Published 2025
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  14. 14
    The inversion results and curve of the objective function of the AQ-type geoelectric model.

    The inversion results and curve of the objective function of the AQ-type geoelectric model. by Zhengyu Xu (8550660)

    Published 2025
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  15. 15
    The inversion results and curve of the objective function of the H-type geoelectric model.

    The inversion results and curve of the objective function of the H-type geoelectric model. by Zhengyu Xu (8550660)

    Published 2025
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  16. 16
    The table of inversion results of AQ type geoelectric model with 5% noise.

    The table of inversion results of AQ type geoelectric model with 5% noise. by Zhengyu Xu (8550660)

    Published 2025
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  17. 17
    Improved PSO-IFA hybrid optimization algorithm flowchart.

    Improved PSO-IFA hybrid optimization algorithm flowchart. by Zhengyu Xu (8550660)

    Published 2025
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  18. 18
    The inversion results and curve of the objective function of AQ-type geoelectric model with noise.

    The inversion results and curve of the objective function of AQ-type geoelectric model with noise. by Zhengyu Xu (8550660)

    Published 2025
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  19. 19
    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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  20. 20
    Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output alongside the output the from top matching object queries. Extracted from the self-attention mechanism in the decoder, the attention map highlights the strength of interactions among the queries. Lighter colors indicate stronger interactions. The track queries tend to focus on themselves, while the object queries attend to the track query that corresponds most closely in location.

    Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... by Owen M. O’Connor (11965460)

    Published 2025
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