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Showing 161 - 180 results of 1,522 for search '(((( algorithm steps functional ) OR ( algorithm etc function ))) OR ( algorithm python function ))', query time: 0.48s Refine Results
  1. 161
    Convergence curves of various improved WOA algorithms.

    Convergence curves of various improved WOA algorithms. by ZeSheng Lin (20501356)

    Published 2025
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  2. 162
    Schematics for gmxapi operations.

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

    Published 2022
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  3. 163
    gmxapi usage examples.

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

    Published 2022
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  4. 164
    Internal cross-validation step of S component in 3Mont.

    Internal cross-validation step of S component in 3Mont. by Miray Unlu Yazici (14792680)

    Published 2025
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  5. 165
    The data for Example 5 are sampled from the peaks function.

    The data for Example 5 are sampled from the peaks function. by Yushi Liu (173457)

    Published 2025
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  6. 166
    Corresponding Markov Chain Model representing the probability of quantum state transition over an infinitesimal time step.

    Corresponding Markov Chain Model representing the probability of quantum state transition over an infinitesimal time step. by Nicholas H. Vitale (20469289)

    Published 2024
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  7. 167
    Greedy optimization algorithm.

    Greedy optimization algorithm. by Alexis Bénichou (19832361)

    Published 2024
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  8. 168
    Fuzzy membership functions for yaw with Δ<i>ρ</i><sub><i>u</i></sub>.

    Fuzzy membership functions for yaw with Δ<i>ρ</i><sub><i>u</i></sub>. by Yasir Mehmood (744452)

    Published 2021
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  9. 169
    Flowchart of a single epoch in the FOX optimization algorithm [10].

    Flowchart of a single epoch in the FOX optimization algorithm [10]. by Mahmood A. Jumaah (22272371)

    Published 2025
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  10. 170
    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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  11. 171
    Parselmouth for bioacoustics: automated acoustic analysis in Python

    Parselmouth for bioacoustics: automated acoustic analysis in Python by Yannick Jadoul (11498813)

    Published 2023
    “…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”
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  12. 172
    Multi-functional liquid crystal devices based on random binary matrix algorithm

    Multi-functional liquid crystal devices based on random binary matrix algorithm by Tibin Zeng (10890697)

    Published 2023
    “…<p>Multi-functional diffraction gratings have found broad applications in laser processing, medicine, beam manipulation, etc. …”
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  13. 173
    IRBMO vs. meta-heuristic algorithms boxplot.

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

    Published 2025
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  14. 174
    IRBMO vs. feature selection algorithm boxplot.

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

    Published 2025
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  15. 175
    Fuzzy membership functions for longitudinal velocity with Δ<i>ρ</i><sub><i>θ</i></sub>.

    Fuzzy membership functions for longitudinal velocity with Δ<i>ρ</i><sub><i>θ</i></sub>. by Yasir Mehmood (744452)

    Published 2021
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  16. 176
    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  17. 177
    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  18. 178
    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  19. 179
    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  20. 180
    We recorded the distribution function of the one-step prediction time for CLPREM and its comparative models, as well as a curve graph showing the multiple of the comparative model’s prediction time relative to CLPREM.

    We recorded the distribution function of the one-step prediction time for CLPREM and its comparative models, as well as a curve graph showing the multiple of the comparative model’... by Xiaorui Wu (8322705)

    Published 2024
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