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Showing 1 - 20 results of 27 for search '(( binary based active optimization algorithm ) OR ( genes based art optimization algorithm ))', query time: 1.08s Refine Results
  1. 1
    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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  2. 2
    Optimal ALARM BN discovered by CausNet.

    Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

    Published 2025
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  3. 3
    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.

    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

    Published 2025
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  4. 4
    QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm

    QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm by Z.Y. Algamal (5547620)

    Published 2020
    “…The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …”
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  5. 5
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
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  6. 6
    FDR and Runtime for ALARM.

    FDR and Runtime for ALARM. by Nand Sharma (21519845)

    Published 2025
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  7. 7
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
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  8. 8
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
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  9. 9
    ALARM networks with different partial orderings.

    ALARM networks with different partial orderings. by Nand Sharma (21519845)

    Published 2025
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  10. 10
    Average Runtime in seconds.

    Average Runtime in seconds. by Nand Sharma (21519845)

    Published 2025
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  11. 11
    Average Hamming Distance with and .

    Average Hamming Distance with and . by Nand Sharma (21519845)

    Published 2025
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  12. 12
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
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  13. 13
    Subset lattice for partial orderings with on four nodes .

    Subset lattice for partial orderings with on four nodes . by Nand Sharma (21519845)

    Published 2025
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  14. 14
    Subset lattices with parent set constraints.

    Subset lattices with parent set constraints. by Nand Sharma (21519845)

    Published 2025
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  15. 15
    Average Hamming Distance with and .

    Average Hamming Distance with and . by Nand Sharma (21519845)

    Published 2025
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  16. 16
    Subset lattice for BNs with four nodes .

    Subset lattice for BNs with four nodes . by Nand Sharma (21519845)

    Published 2025
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  17. 17
    Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example.

    Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example. by Nand Sharma (21519845)

    Published 2025
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  18. 18
    An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%.

    An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. by Zhengdong Wang (35299)

    Published 2025
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  19. 19
    The pseudocode related to the process of initial harmony generation, with considering SNP locus data.

    The pseudocode related to the process of initial harmony generation, with considering SNP locus data. by Fariba Esmaeili (532865)

    Published 2023
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  20. 20
    Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP

    Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP by Xiaoyuan Wang (492534)

    Published 2022
    “…<p>It is of great practical and theoretical significance to identify driver fatigue state in real time and accurately and provide active safety warning in time. In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …”
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