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tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
spatial tracking » optical tracking (Expand Search), spatial thinking (Expand Search), particle tracking (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
Showing 1 - 20 results of 501 for search '(( element data algorithm ) OR ((( spatial tracking algorithm ) OR ( neural coding algorithm ))))', query time: 0.55s Refine Results
  1. 1
    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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  2. 2
    Assignment of Hungarian Algorithm.

    Assignment of Hungarian Algorithm. by Yibin Zhang (1426579)

    Published 2025
    “…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …”
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  3. 3
    Folder with all data and algorithms

    Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

    Published 2025
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  4. 4
    Spatial attention module.

    Spatial attention module. by Yuanhong Dan (20570631)

    Published 2025
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  5. 5
    Data and code resources.

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

    Published 2025
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  6. 6
    Tracked anchors consistently outperform random anchors.

    Tracked anchors consistently outperform random anchors. by Robert T. Heussner (21989911)

    Published 2025
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  7. 7
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  8. 8
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  9. 9
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  10. 10
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  11. 11
    Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025)

    Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)

    Published 2025
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  12. 12
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  13. 13
    Cell tracking improves integration quality over linear sum assignment.

    Cell tracking improves integration quality over linear sum assignment. by Robert T. Heussner (21989911)

    Published 2025
    “…Error bars indicate the standard deviation of five seeds with the constrained case representing bulk-level or LSA without spatial constraints, a variant of MaxFuse. <b>(B)</b> Cycle consistency of LSA rapidly diminishes with increasing neighborhood size, whereas cell tracking ensures cycle consistency. …”
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  14. 14
    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"

    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
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  15. 15
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
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  16. 16
    Diagram of the proposed solution algorithm.

    Diagram of the proposed solution algorithm. by Vytautas Abromavičius (22008573)

    Published 2025
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  17. 17
    Label propagation is robust to biomarker panel composition, tracking efficiency, and tissue type.

    Label propagation is robust to biomarker panel composition, tracking efficiency, and tissue type. by Robert T. Heussner (21989911)

    Published 2025
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  18. 18
    Dice score for various <i>α</i> values (from the Eq 8) for the tracking of the CST and for the iFOD and PTT algorithms.

    Dice score for various <i>α</i> values (from the Eq 8) for the tracking of the CST and for the iFOD and PTT algorithms. by Thomas Durantel (20933812)

    Published 2025
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  19. 19
    The genetic algorithm.

    The genetic algorithm. by Viktoria Zemliak (19500335)

    Published 2025
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  20. 20
    Flowchart of the implemented Pareto optimization algorithm.

    Flowchart of the implemented Pareto optimization algorithm. by Vytautas Abromavičius (22008573)

    Published 2025
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