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Showing 141 - 160 results of 7,237 for search '(( ((algorithm low) OR (algorithm b)) function ) OR ( algorithm python function ))*', query time: 0.74s Refine Results
  1. 141
    Python cv coding screenshots of all developed fingerprints on distinct surfaces.

    Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

    Published 2024
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  2. 142
    Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms.

    Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

    Published 2025
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  3. 143
    The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions.

    The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions. by Yi-Wen Hsiao (13767916)

    Published 2022
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  4. 144
    Swarm intelligence algorithms for multi-objective IMP: Step-by-step improvement

    Swarm intelligence algorithms for multi-objective IMP: Step-by-step improvement by Francisco Muñoz (9455441)

    Published 2022
    “…Algorithms implemented on article "<b>A step-by-step solution for the multi-objective influence spread problem</b>". …”
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  5. 145
    Iterative convergence curves of each algorithm for the CEC2019 benchmark functions.

    Iterative convergence curves of each algorithm for the CEC2019 benchmark functions. by Guangwei Liu (181992)

    Published 2023
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  6. 146
    The CaM objective spaces have low effective dimensionalities.

    The CaM objective spaces have low effective dimensionalities. by Lu Hong (399882)

    Published 2024
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  7. 147
    Connectivity characteristics (distance, orientation, and region) of the stable low-|Δθ|, stable high-|Δθ|, and shifting-|Δθ| networks.

    Connectivity characteristics (distance, orientation, and region) of the stable low-|Δθ|, stable high-|Δθ|, and shifting-|Δθ| networks. by Melisa Menceloglu (7610213)

    Published 2024
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  8. 148
    Fig 8 -

    Fig 8 - by Maryam Shadi (14237349)

    Published 2022
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  9. 149
    Fig 9 -

    Fig 9 - by Maryam Shadi (14237349)

    Published 2022
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  10. 150
    Show parameter <i>N</i><sub><i>x</i></sub> for different topologies.

    Show parameter <i>N</i><sub><i>x</i></sub> for different topologies. by Maryam Shadi (14237349)

    Published 2022
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  11. 151
    Fig 5 -

    Fig 5 - by Maryam Shadi (14237349)

    Published 2022
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  12. 152
    Fig 11 -

    Fig 11 - by Maryam Shadi (14237349)

    Published 2022
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  13. 153
    Fig 3 -

    Fig 3 - by Maryam Shadi (14237349)

    Published 2022
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  14. 154
    Fig 6 -

    Fig 6 - by Maryam Shadi (14237349)

    Published 2022
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  15. 155
    The SCOPer algorithm can be run efficiently on multiple cores.

    The SCOPer algorithm can be run efficiently on multiple cores. by Nima Nouri (2183760)

    Published 2020
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  16. 156
    Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF

    Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

    Published 2024
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  17. 157
    Examples of complexes with proteins having low annotation scores.

    Examples of complexes with proteins having low annotation scores. by Meghana Venkata Palukuri (11890672)

    Published 2021
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  18. 158
    Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf

    Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)

    Published 2023
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  19. 159
    Confusion matrix diagram of the original and improved algorithms.

    Confusion matrix diagram of the original and improved algorithms. by Jia Li (160557)

    Published 2025
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  20. 160
    Route for bays29 output by ABSQL algorithm.

    Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

    Published 2023
    “…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”
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