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Showing 141 - 160 results of 1,319 for search '(((( algorithm maml function ) OR ( algorithm step function ))) OR ( algorithm python function ))*', query time: 0.25s Refine Results
  1. 141
    Adaptive exploration and exploitation method of Improved FOX optimization algorithm.

    Adaptive exploration and exploitation method of Improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

    Published 2025
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  2. 142
    The collective motion, collision avoidance, and CMCA score of the VCMCA algorithm, VCMCA algorithm without CA, and random walk over the simulation steps for <i>n</i> = 30 repetitions.

    The collective motion, collision avoidance, and CMCA score of the VCMCA algorithm, VCMCA algorithm without CA, and random walk over the simulation steps for <i>n</i> = 30 repetitio... by David L. Krongauz (15447260)

    Published 2023
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  3. 143
    The TPC algorithm.

    The TPC algorithm. by Rahul Biswas (14117086)

    Published 2022
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  4. 144
    List of feature selection methods used in the voting algorithm.

    List of feature selection methods used in the voting algorithm. by Mahmoud Zeydabadinezhad (12289570)

    Published 2023
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  5. 145
    This appendix presents the flowchart used in the development of the particle swarm optimization algorithm for determining the optimal PID controller gain values.

    This appendix presents the flowchart used in the development of the particle swarm optimization algorithm for determining the optimal PID controller gain values. by Rafael Mendes Faria (18886798)

    Published 2024
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  6. 146
    IRBMO vs. meta-heuristic algorithms boxplot.

    IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

    Published 2025
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  7. 147
    IRBMO vs. feature selection algorithm boxplot.

    IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

    Published 2025
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  8. 148
    The performance results on benchmark test functions and real-world problems.

    The performance results on benchmark test functions and real-world problems. by Mahmood A. Jumaah (22272371)

    Published 2025
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  9. 149
    Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting.

    Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting. by Alexander Borst (32619)

    Published 2024
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  10. 150
    Application of the smooth-index algorithm to the single-column connectome of the Drosophila optic lobe.

    Application of the smooth-index algorithm to the single-column connectome of the Drosophila optic lobe. by Alexander Borst (32619)

    Published 2024
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  11. 151
    Skeletonisation algorithm.

    Skeletonisation algorithm. by Jordan Hembrow (16908051)

    Published 2023
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  12. 152
    Generating the PSC kernel using a double exponential function.

    Generating the PSC kernel using a double exponential function. by Alireza Ghadimi (13839874)

    Published 2022
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  13. 153
    Schematics for gmxapi operations.

    Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

    Published 2022
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  14. 154
    gmxapi usage examples.

    gmxapi usage examples. by M. Eric Irrgang (4487278)

    Published 2022
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  15. 155
    Wavelet transform and scaling function.

    Wavelet transform and scaling function. by Menaa Nawaz (14304920)

    Published 2022
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  16. 156
    Summary of classical and CEC-based benchmark test functions used in this study.

    Summary of classical and CEC-based benchmark test functions used in this study. by Mahmood A. Jumaah (22272371)

    Published 2025
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  17. 157
    Table 12_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx

    Table 12_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

    Published 2025
    “…These findings contribute to gene prioritization efforts, facilitating the identification of functional candidate genes that can enhance genomic selection strategies for economically important traits in Nellore cattle.…”
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  18. 158
    Table 10_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx

    Table 10_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

    Published 2025
    “…These findings contribute to gene prioritization efforts, facilitating the identification of functional candidate genes that can enhance genomic selection strategies for economically important traits in Nellore cattle.…”
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  19. 159
    Table 15_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx

    Table 15_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

    Published 2025
    “…These findings contribute to gene prioritization efforts, facilitating the identification of functional candidate genes that can enhance genomic selection strategies for economically important traits in Nellore cattle.…”
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  20. 160
    Table 8_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx

    Table 8_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

    Published 2025
    “…These findings contribute to gene prioritization efforts, facilitating the identification of functional candidate genes that can enhance genomic selection strategies for economically important traits in Nellore cattle.…”
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