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Showing 1 - 20 results of 744 for search '(( binary based objective optimization algorithm ) OR ( gene use from optimization algorithm ))', query time: 1.17s Refine Results
  1. 1
    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.

    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
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  2. 2
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
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  3. 3
    Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.XLSX

    Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... by Yangyang Liu (807797)

    Published 2022
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  4. 4
    Summary of predictive performance per dataset when using gene-expression and clinical predictors.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors. by Stephen R. Piccolo (8367780)

    Published 2022
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  5. 5
    Conceptual model for pathways and genes determining cholesterol plasma levels used van de Pas and colleagues [9], [10].

    Conceptual model for pathways and genes determining cholesterol plasma levels used van de Pas and colleagues [9], [10]. by Francesco Reggiani (5727733)

    Published 2020
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  6. 6
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    “…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …”
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  7. 7
    Optimal use of statistical methods to validate reference gene stability in longitudinal studies

    Optimal use of statistical methods to validate reference gene stability in longitudinal studies by Venkat Krishnan Sundaram (7026989)

    Published 2019
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  8. 8
    Comparisons between ADAM and NADAM optimizers.

    Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

    Published 2025
    “…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …”
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  9. 9
    The quantile-quantile(QQ) plots for estimated parameters of unbuffered gene networks using step and periodic inputs.

    The quantile-quantile(QQ) plots for estimated parameters of unbuffered gene networks using step and periodic inputs. by Wei Zhang (405)

    Published 2019
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  10. 10
    Algorithm 1: Cap inhibitory densities to number of neurons.

    Algorithm 1: Cap inhibitory densities to number of neurons. by Dimitri Rodarie (10148838)

    Published 2022
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  11. 11
    Model performance using several supervised machine-learning algorithms.

    Model performance using several supervised machine-learning algorithms. by Josh L. Espinoza (10492448)

    Published 2021
    “…<p>Various machine-learning algorithms were evaluated using the entire feature set (n = 3065 genes) and the <i>Clairvoyance</i>-optimized feature set (<i>GeneSet</i><sub><i>y1-y5</i></sub>, n = 399 genes) with the same LCOCV pairs. …”
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  12. 12
    Convergence curves for the applied algorithms.

    Convergence curves for the applied algorithms. by Eslam Hamouda (5172083)

    Published 2024
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  13. 13
    Algorithm verification.

    Algorithm verification. by Dmitrii Smirnov (8822324)

    Published 2020
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  14. 14
    Summary of datasets used.

    Summary of datasets used. by Stephen R. Piccolo (8367780)

    Published 2022
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  15. 15
    Basic flow of the FGES algorithm, following the example of Fig 1.

    Basic flow of the FGES algorithm, following the example of Fig 1. by Niko Bernaola (17537755)

    Published 2023
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  16. 16
    A* Path-Finding Algorithm to Determine Cell Connections

    A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

    Published 2025
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  17. 17
    Polylines of classification metrics at the 19th iteration of the Sort Difference Backward Elimination (SDBE) algorithm.

    Polylines of classification metrics at the 19th iteration of the Sort Difference Backward Elimination (SDBE) algorithm. by Hu Ai (10689783)

    Published 2022
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  18. 18
    <i>In silico</i> prediction of blood cholesterol levels from genotype data

    <i>In silico</i> prediction of blood cholesterol levels from genotype data by Francesco Reggiani (5727733)

    Published 2020
    “…<div><p>In this work we present a framework for blood cholesterol levels prediction from genotype data. The predictor is based on an algorithm for cholesterol metabolism simulation available in literature, implemented and optimized by our group in the R language. …”
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  19. 19
    Data_Sheet_3_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.docx

    Data_Sheet_3_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.docx by Vishnu Ramasubramanian (4951354)

    Published 2021
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  20. 20
    Data_Sheet_7_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.docx

    Data_Sheet_7_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.docx by Vishnu Ramasubramanian (4951354)

    Published 2021
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