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Showing 61 - 80 results of 98 for search '(( library based process optimization algorithm ) OR ( binary b process optimization algorithm ))*', query time: 0.37s Refine Results
  1. 61
    Data construction of the first and last rows in .

    Data construction of the first and last rows in . by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  2. 62
    Schematic diagram of PM model.

    Schematic diagram of PM model. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  3. 63
    Schematic diagram of the atomic function .

    Schematic diagram of the atomic function . by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  4. 64
    Multiple comparison of means - Tukey HSD.

    Multiple comparison of means - Tukey HSD. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  5. 65
    Schematic diagram of the cut-and-mark operation.

    Schematic diagram of the cut-and-mark operation. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  6. 66
    Layout of hybrid flow shop scheduling.

    Layout of hybrid flow shop scheduling. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  7. 67
    Probe combines and as a 2-aggregation.

    Probe combines and as a 2-aggregation. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  8. 68
    Scheduling Gantt chart for instance j10c10c6.

    Scheduling Gantt chart for instance j10c10c6. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  9. 69
    Scheduling Gantt chart for instance j30c5e10.

    Scheduling Gantt chart for instance j30c5e10. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  10. 70
    Box plot comparison on instance j30c5e10.

    Box plot comparison on instance j30c5e10. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  11. 71
    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment

    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

    Published 2019
    “…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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  12. 72
    Validation of image processing steps and metric results using images of a microfluidic device.

    Validation of image processing steps and metric results using images of a microfluidic device. by Gavrielle R. Untracht (11820311)

    Published 2021
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  13. 73
    Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.

    Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. by Jiaqing Luo (10975030)

    Published 2021
    “…P <0.05 was considered statistically significant. (B). The MCDM algorithm-Stage 2. Feature Ranking, this stage is the process of using the TOPSIS method to rank features. …”
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  14. 74
    Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx

    Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx by Yupeng Li (507508)

    Published 2023
    “…In bSRWPSO-FKNN, the core of which is to optimize the classification performance of FKNN through binary SRWPSO.…”
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  15. 75
    Experimental observation of gastruloids and shape quantification using LOCO-EFA.

    Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

    Published 2024
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  16. 76
    Online sextuplet mining for SNAP-loss.

    Online sextuplet mining for SNAP-loss. by Muhammad Usman Tariq (11022141)

    Published 2021
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  17. 77
    tUbenet Foundation Model Weights

    tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

    Published 2025
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  18. 78
    Fig 1 -

    Fig 1 - by Jakub Stoklosa (3315042)

    Published 2023
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  19. 79
    Segmentation, trace denoising and spike extraction framework.

    Segmentation, trace denoising and spike extraction framework. by Changjia Cai (10647521)

    Published 2021
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  20. 80
    Data_Sheet_1_CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage.docx

    Data_Sheet_1_CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage.docx by Yanfen Zheng (3814507)

    Published 2021
    “…In this study, we describe an enhanced gradient-based optimizer that includes the Cauchy and Levy mutation strategy (CLGBO) to construct DNA coding sets, which are used as primer and address libraries. …”
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