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Showing 1 - 20 results of 11,194 for search '(( element rast algorithm ) OR ((( query processing algorithm ) OR ( models using algorithm ))))', query time: 0.59s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

    Published 2025
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  4. 4
    Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer.

    Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer. by Luca Musella (19986312)

    Published 2025
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  5. 5
    Example of a knowledge query.

    Example of a knowledge query. by Bei Li (90587)

    Published 2025
    “…The Enhanced Representation through Knowledge Integration-UIE (ERNIE-UIE) model is fine-tuned and optimized using a small amount of annotated data. …”
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  6. 6
    Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set for the DeepCell dataset. Note that for these movies, Cell-TRACTR preferentially uses pixels from the highest resolution multi-scale features.

    Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set for the DeepCell dataset... by Owen M. O’Connor (11965460)

    Published 2025
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  7. 7
    City driving speed query results.

    City driving speed query results. 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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  8. 8
    Algorithm for optimizing the model using transformer.

    Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

    Published 2025
    “…<p>Algorithm for optimizing the model using transformer.…”
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  9. 9
    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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  10. 10
    Number of tweets collected per query and type.

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

    Published 2025
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  11. 11
    Algorithm used for the determination of the model parametric values.

    Algorithm used for the determination of the model parametric values. by Jonathan Côté (527819)

    Published 2024
    “…<p>Algorithm used for the determination of the model parametric values.…”
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  12. 12
    Optimization plot of ML models using GA algorithm.

    Optimization plot of ML models using GA algorithm. by Ali Bahrami (20700339)

    Published 2025
    “…<p>Optimization plot of ML models using GA algorithm.</p>…”
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  13. 13
    Optimization plot of ML models using SA algorithm.

    Optimization plot of ML models using SA algorithm. by Ali Bahrami (20700339)

    Published 2025
    “…<p>Optimization plot of ML models using SA algorithm.</p>…”
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  14. 14
    Fig 1 - A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes

    Fig 1 - A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes by Ihab Hashem (21156806)

    Published 2025
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  15. 15
    ML algorithms used in this study.

    ML algorithms used in this study. by Toheeb Salahudeen (21368040)

    Published 2025
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  16. 16
    Performance of ENQUIRE’s gene normalization algorithm.

    Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

    Published 2025
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  17. 17
    Evaluation of pre-treatment models using different machine learning algorithms.

    Evaluation of pre-treatment models using different machine learning algorithms. by Yiran Li (1818355)

    Published 2025
    “…<p>Evaluation of pre-treatment models using different machine learning algorithms.…”
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  18. 18
    Evaluation of post-treatment models using different machine learning algorithms.

    Evaluation of post-treatment models using different machine learning algorithms. by Yiran Li (1818355)

    Published 2025
    “…<p>Evaluation of post-treatment models using different machine learning algorithms.…”
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  19. 19
    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
    “…<p>The AUC of each model was calculated using 113 ML algorithm.</p>…”
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  20. 20
    Notations and definitions used in the algorithm.

    Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

    Published 2025
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