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Showing 161 - 180 results of 722 for search '(((( element controls algorithm ) OR ( element method algorithm ))) OR ( source code algorithm ))', query time: 0.32s Refine Results
  1. 161
    Comparison data 3 for <i>Lamprologus ocellatus</i>.

    Comparison data 3 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  2. 162
    Behavioral timelines for subject 9 from the sample data of <i>Neolamprologus multifasciatus</i> from the website (S1 Dataset).

    Behavioral timelines for subject 9 from the sample data of <i>Neolamprologus multifasciatus</i> from the website (S1 Dataset). by Nicolai Kraus (19949667)

    Published 2024
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  3. 163
    Sample data for <i>Telmatochromis temporalis</i>.

    Sample data for <i>Telmatochromis temporalis</i>. by Nicolai Kraus (19949667)

    Published 2024
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  4. 164
    Comparison data 4 for <i>Lamprologus ocellatus</i>.

    Comparison data 4 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  5. 165
    Comparison data 1 for <i>Lamprologus ocellatus</i>.

    Comparison data 1 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  6. 166
    Comparison data 1 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 1 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  7. 167
    Comparison data 7 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 7 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  8. 168
    Comparison data 3 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 3 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  9. 169
    Comparison data 2 for <i>Lamprologus ocellatus</i>.

    Comparison data 2 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  10. 170
    Comparison data 2 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 2 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  11. 171
    Comparison data 5 for <i>Lamprologus ocellatus</i>.

    Comparison data 5 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  12. 172
    Distance matrix from pairwise comparisons of behavior sequences of the two cichlid species <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (S4–S17 Datasets), using the Network Portrait Divergence as distance measure.

    Distance matrix from pairwise comparisons of behavior sequences of the two cichlid species <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (S4–S17 Datasets),... by Nicolai Kraus (19949667)

    Published 2024
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  13. 173
    Workflow visualization of the application, illustrating the required steps and exportable outputs.

    Workflow visualization of the application, illustrating the required steps and exportable outputs. by Nicolai Kraus (19949667)

    Published 2024
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  14. 174
    Comparison data 6 for <i>Lamprologus ocellatus</i>.

    Comparison data 6 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  15. 175
    Comparison data 5 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 5 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  16. 176
    In a general category with finite products, morphisms of group objects that satisfy the existence of an identity element form a commutative diagram.

    In a general category with finite products, morphisms of group objects that satisfy the existence of an identity element form a commutative diagram. by Jian-Gang Tang (21594349)

    Published 2025
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  17. 177
    The relevant code used in this study.

    The relevant code used in this study. by Jiaxin Jiang (10656134)

    Published 2024
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  18. 178
    The flowchart of GWO-VMD method.

    The flowchart of GWO-VMD method. by Zhenjing Yao (22189970)

    Published 2025
    “…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”
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  19. 179
    The AI Code War Apple ChatGPT and the Hidden Battle for Sovereignty.pdf

    The AI Code War Apple ChatGPT and the Hidden Battle for Sovereignty.pdf by Minehli Arakelians Gheshlagh (21983870)

    Published 2025
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  20. 180
    Training results under different parameters.

    Training results under different parameters. by Yang Zhang (30734)

    Published 2025
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