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Showing 41 - 60 results of 97 for search '(( binary swarm based optimization algorithm ) OR ( binary data process simulation algorithm ))*', query time: 0.35s Refine Results
  1. 41
    The extended analyses of the observed ceRNA pairs that are related to miRNA hsa-let-17e-5p.

    The extended analyses of the observed ceRNA pairs that are related to miRNA hsa-let-17e-5p. by Yi-Wen Hsiao (13767916)

    Published 2022
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  2. 42
    Summary statistics of the gene expression profile of 9,835 samples in TCGA pan-cancer atlas.

    Summary statistics of the gene expression profile of 9,835 samples in TCGA pan-cancer atlas. by Yi-Wen Hsiao (13767916)

    Published 2022
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  3. 43
    The graphical bar outputs of the <i>ceRNAFunction</i> function based on over-representation analysis (ORA).

    The graphical bar outputs of the <i>ceRNAFunction</i> function based on over-representation analysis (ORA). by Yi-Wen Hsiao (13767916)

    Published 2022
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  4. 44
    Summary of the application to the TCGA lung cancer datasets.

    Summary of the application to the TCGA lung cancer datasets. by Yi-Wen Hsiao (13767916)

    Published 2022
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  5. 45
    The basic concept of our idea is illustrated graphically.

    The basic concept of our idea is illustrated graphically. by Yi-Wen Hsiao (13767916)

    Published 2022
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  6. 46
    Three main modules involved in the identification of ceRNA-miRNA triplets.

    Three main modules involved in the identification of ceRNA-miRNA triplets. by Yi-Wen Hsiao (13767916)

    Published 2022
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  7. 47
    Running time comparison among tools.

    Running time comparison among tools. by Yi-Wen Hsiao (13767916)

    Published 2022
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  8. 48
    Performance of our proposed method in three extended cases.

    Performance of our proposed method in three extended cases. by Yi-Wen Hsiao (13767916)

    Published 2022
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  9. 49
    An overview of our ceRNAR package.

    An overview of our ceRNAR package. by Yi-Wen Hsiao (13767916)

    Published 2022
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  10. 50
    Application of ABC SMC to the fitting of the binary flip with cusp model.

    Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

    Published 2021
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  11. 51
    Bayesian Inference on High-Dimensional Multivariate Binary Responses

    Bayesian Inference on High-Dimensional Multivariate Binary Responses by Antik Chakraborty (4588912)

    Published 2023
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  12. 52
    Summary of LITNET-2020 dataset.

    Summary of LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  13. 53
    SHAP analysis for LITNET-2020 dataset.

    SHAP analysis for LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  14. 54
    Comparison of intrusion detection systems.

    Comparison of intrusion detection systems. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  15. 55
    Parameter setting for CBOA and PSO.

    Parameter setting for CBOA and PSO. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  16. 56
    NSL-KDD dataset description.

    NSL-KDD dataset description. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  17. 57
    The architecture of LSTM cell.

    The architecture of LSTM cell. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  18. 58
    The architecture of ILSTM.

    The architecture of ILSTM. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  19. 59
    Parameter setting for LSTM.

    Parameter setting for LSTM. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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  20. 60
    LITNET-2020 data splitting approach.

    LITNET-2020 data splitting approach. by Asmaa Ahmed Awad (16726315)

    Published 2023
    “…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
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