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Showing 1 - 20 results of 54 for search '(( lines based active optimization algorithm ) OR ( binary choice process optimization algorithm ))', query time: 0.53s Refine Results
  1. 1
    Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system).

    Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

    Published 2020
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  2. 2
    Construction of kinetic data based on the Arrhenius equation with distributed activation energy.

    Construction of kinetic data based on the Arrhenius equation with distributed activation energy. by László Zimányi (2649973)

    Published 2021
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  3. 3
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  4. 4
    Performance of optimization algorithms in six different network types.

    Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  5. 5
    Performance of optimization algorithms in an network of education organizations of ± 250 nodes.

    Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  6. 6
    Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction

    Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction by E. Tejera (7470644)

    Published 2019
    “…In the present research, we propose and discuss a straightforward strategy not based on any learning modelling but exclusively relying upon the chemical similarity of a query compound to reference compounds with annotated activity against cell lines. …”
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  7. 7
    Dose distributions of optimized plans.

    Dose distributions of optimized plans. by Hojin Kim (462672)

    Published 2020
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  8. 8
    Comparison between the performance of the steady-state-based, the conventional LMSE, and the dual optimization approaches in estimating parameters of the TM model.

    Comparison between the performance of the steady-state-based, the conventional LMSE, and the dual optimization approaches in estimating parameters of the TM model. by Alireza Ghadimi (13839874)

    Published 2022
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  9. 9
    Results from trajectory optimization of walking.

    Results from trajectory optimization of walking. by Antoine Falisse (6061601)

    Published 2019
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  10. 10
    Optimization framework.

    Optimization framework. by Nisha Ann Viswan (20371285)

    Published 2024
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  11. 11
    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli.

    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

    Published 2024
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  12. 12
    Graphical illustration of sample size estimation for the study protocol.

    Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

    Published 2023
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  13. 13
    Heatmap of control parameters from CoCaBO.

    Heatmap of control parameters from CoCaBO. by Xianglong Tan (2818864)

    Published 2022
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  14. 14
    Drawing procedure.

    Drawing procedure. by Xianglong Tan (2818864)

    Published 2022
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  15. 15
    Growth rate comparison between models and experimental results in mono-culture and co-culture.

    Growth rate comparison between models and experimental results in mono-culture and co-culture. by Elias Vera-Siguenza (16993830)

    Published 2023
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  16. 16
    Decoding results.

    Decoding results. by Sam Hall-McMaster (10343795)

    Published 2025
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  17. 17
    Comparison of city decoders trained on session one and session two data.

    Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

    Published 2025
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  18. 18
    Distributions of model parameters mirror differentially expressed ion channel genes.

    Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

    Published 2022
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  19. 19
    Error function description and test optimization results.

    Error function description and test optimization results. by Timothy Rumbell (7419269)

    Published 2019
    “…Curves at top and right in (E) and (F) are based on histograms with 100 bins. (F) Test optimization result. …”
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  20. 20
    Case-dependent contact reduction.

    Case-dependent contact reduction. by Md Rafiul Islam (11719003)

    Published 2021
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