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Showing 1 - 20 results of 376 for search '(( lines based models optimization algorithm ) OR ( binary basic process optimization algorithm ))*', query time: 0.64s Refine Results
  1. 1
    The comparison of different optimization models.

    The comparison of different optimization models. by Jiefei Zhang (8787494)

    Published 2023
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  2. 2
    Greedy optimization algorithm.

    Greedy optimization algorithm. by Alexis Bénichou (19832361)

    Published 2024
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  3. 3
    Parameters in algorithms.

    Parameters in algorithms. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  4. 4
    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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  5. 5
    DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx

    DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx by Ying Sun (23237)

    Published 2022
    “…In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed. …”
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  6. 6
    Dimensions of the calculated model.

    Dimensions of the calculated model. by Dapeng Wang (250459)

    Published 2023
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  7. 7
    Comparison of line planning results.

    Comparison of line planning results. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  8. 8
    Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values).

    Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values). by Sofia P. Miranda (11418930)

    Published 2021
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  9. 9
    Optimal schemes for different resource limitations.

    Optimal schemes for different resource limitations. by Jiefei Zhang (8787494)

    Published 2023
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  10. 10
    SUNRISE hybrids obtained from 36 maintainer lines (females, rows) crossed to 36 restorer lines (males, columns).

    SUNRISE hybrids obtained from 36 maintainer lines (females, rows) crossed to 36 restorer lines (males, columns). by Brigitte Mangin (336874)

    Published 2019
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  11. 11
    Example medication days generated for patients P4 and P6, medication times (red dots), patient’s state—TRS score (blue line) with bounds for the states (red lines) and optimal state (green line).

    Example medication days generated for patients P4 and P6, medication times (red dots), patient’s state—TRS score (blue line) with bounds for the states (red lines) and optimal stat... by Tomasz Gutowski (17200042)

    Published 2023
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  12. 12
    Average running time line graph of different algorithms.

    Average running time line graph of different algorithms. by Wuyi Li (2984439)

    Published 2024
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  13. 13
    The parameters of model.

    The parameters of model. by Jiefei Zhang (8787494)

    Published 2023
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  14. 14
    Cracked tunnel-strata coupled finite element model.

    Cracked tunnel-strata coupled finite element model. by Dapeng Wang (250459)

    Published 2023
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  15. 15
    Classification results for all subsampling scenarios and algorithms for Gefitinib.

    Classification results for all subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  16. 16
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …”
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  17. 17
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …”
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  18. 18
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …”
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  19. 19
    Flowchart of the model solution.

    Flowchart of the model solution. by Jiefei Zhang (8787494)

    Published 2023
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  20. 20
    Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib.

    Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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