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Showing 821 - 840 results of 3,226 for search '(( algorithm flow function ) OR ((( algorithm python function ) OR ( algorithm based function ))))', query time: 0.52s Refine Results
  1. 821
    Convergence curves on the functions C22F1, C22F4, C22F5, C22F9, C22F10, C22F12, CBP, CSP, and TCP.

    Convergence curves on the functions C22F1, C22F4, C22F5, C22F9, C22F10, C22F12, CBP, CSP, and TCP. by Mahmood A. Jumaah (22272371)

    Published 2025
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  2. 822
    Table 1_Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm.docx

    Table 1_Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algor... by Xin He (48101)

    Published 2025
    “…The 6-n-2 three-layers of back-propagation artificial neural network (BP-ANN) was employed to model the two defined objective functions. With the predictive models, the Pareto front was determined by a variant of non-dominated sorting genetic algorithm II(VNSGAII) to provide the optimal prescription set.…”
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  3. 823
    Performance comparison of six algorithms—MOPSO, rNSGA-II, IM-MOEA/D, MOEA/D-FRR-MAB, dMOPSO, and QLNSGA-II—on selected UF test functions: UF1, UF4, UF7, UF8, and UF9.

    Performance comparison of six algorithms—MOPSO, rNSGA-II, IM-MOEA/D, MOEA/D-FRR-MAB, dMOPSO, and QLNSGA-II—on selected UF test functions: UF1, UF4, UF7, UF8, and UF9. by Zhongfeng Li (3965060)

    Published 2025
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  4. 824
    Performance comparison of six algorithms—MOPSO, rNSGA-II, IM-MOEA/D, MOEA/D-FRR-MAB, dMOPSO, and QLNSGA-II—on selected WFG test functions: WFG1, WFG4, WFG7, WFG8, and WFG9.

    Performance comparison of six algorithms—MOPSO, rNSGA-II, IM-MOEA/D, MOEA/D-FRR-MAB, dMOPSO, and QLNSGA-II—on selected WFG test functions: WFG1, WFG4, WFG7, WFG8, and WFG9. by Zhongfeng Li (3965060)

    Published 2025
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  5. 825
    Video 5_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 5_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  6. 826
    Video 8_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 8_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  7. 827
    Video 6_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 6_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  8. 828
    Video 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  9. 829
    Supplementary file 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.docx

    Supplementary file 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.docx by Hannah James (6551678)

    Published 2025
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  10. 830
    Video 9_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 9_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  11. 831
    Video 3_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 3_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  12. 832
    Video 7_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 7_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  13. 833
    Video 4_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 4_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  14. 834
    Video 2_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 2_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  15. 835
    Patch-level landscape metrics derived using the <i>HabSpace</i> function of <i>HabplanR</i> for the entire 35 three-year projection period, across two possible Habplan solutions.

    Patch-level landscape metrics derived using the <i>HabSpace</i> function of <i>HabplanR</i> for the entire 35 three-year projection period, across two possible Habplan solutions. by Max D. Jones (6269006)

    Published 2024
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  16. 836
    Categories and subcategories defined from the topics of interest of contemplation users.

    Categories and subcategories defined from the topics of interest of contemplation users. by Diana Ramírez-Cifuentes (20700054)

    Published 2025
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  17. 837
    Most addressed topics and most terms used by contemplation Twitter users and survey participants.

    Most addressed topics and most terms used by contemplation Twitter users and survey participants. by Diana Ramírez-Cifuentes (20700054)

    Published 2025
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  18. 838
    Architecture of the recommender system proposed.

    Architecture of the recommender system proposed. by Diana Ramírez-Cifuentes (20700054)

    Published 2025
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  19. 839
    Results obtained for the evaluation of the baselines and the proposed model for survey participants.

    Results obtained for the evaluation of the baselines and the proposed model for survey participants. by Diana Ramírez-Cifuentes (20700054)

    Published 2025
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  20. 840
    Harmless users’ detection models.

    Harmless users’ detection models. by Diana Ramírez-Cifuentes (20700054)

    Published 2025
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