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probes optimization » process optimization (Expand Search), robust optimization (Expand Search), property optimization (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
scheme selection » school selection (Expand Search), sample selection (Expand Search), site selection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based probes » based protein (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data scheme » update scheme (Expand Search), data science (Expand Search)
Showing 1 - 20 results of 27 for search '(( binary based probes optimization algorithm ) OR ( binary data scheme selection algorithm ))', query time: 0.52s Refine Results
  1. 1
    List of selected mRNAs in the feature selection step.

    List of selected mRNAs in the feature selection step. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  2. 2
    The performance of classifiers based on 60 selected mRNAs.

    The performance of classifiers based on 60 selected mRNAs. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  3. 3
    Confusion metrics using LR-HaPi algorithm.

    Confusion metrics using LR-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  4. 4
    Confusion metrics using MNB-HaPi algorithm.

    Confusion metrics using MNB-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  5. 5
    Confusion metrics using DT-HaPi algorithm.

    Confusion metrics using DT-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  6. 6
    Confusion metrics using SVM-HaPi algorithm.

    Confusion metrics using SVM-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  7. 7
    Selected mRNAs based on association rule mining analysis, for early and late stages of PTC.

    Selected mRNAs based on association rule mining analysis, for early and late stages of PTC. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  8. 8
    The performance of the SVM classifier based on 60 (30 plus 30-zeroed) selected mRNAs for GSE 60542 dataset.

    The performance of the SVM classifier based on 60 (30 plus 30-zeroed) selected mRNAs for GSE 60542 dataset. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  9. 9
    The overview of the proposed method.

    The overview of the proposed method. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  10. 10
    Top mRNAs based on repeat count in early-stage and late-stage rules.

    Top mRNAs based on repeat count in early-stage and late-stage rules. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  11. 11
    Fig 4 -

    Fig 4 - by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  12. 12
    Fig 3 -

    Fig 3 - by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  13. 13
    Twenty of the top early-stage and late-stage rules based on sorted lift value.

    Twenty of the top early-stage and late-stage rules based on sorted lift value. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  14. 14
    Graph network of ZNF518B (with lift score > 1.23) and its related association rules with other mRNAs. ZNF518B, its rules, and related mRNAs are represented by orange, yellow, and blue colors, respectively.

    Graph network of ZNF518B (with lift score > 1.23) and its related association rules with other mRNAs. ZNF518B, its rules, and related mRNAs are represented by orange, yellow, and b... by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  15. 15
    Pseudocode of NSGAII [23].

    Pseudocode of NSGAII [23]. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  16. 16
    Fig 2 -

    Fig 2 - by Seyed Mahdi Hosseiniyan Khatibi (16791475)

    Published 2023
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  17. 17
    Framework for data extraction from Twitter.

    Framework for data extraction from Twitter. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  18. 18
    Flowchart scheme of the ML-based model.

    Flowchart scheme of the ML-based model. by Noshaba Qasmi (20405009)

    Published 2024
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  19. 19
    Recent work related to propaganda.

    Recent work related to propaganda. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  20. 20
    Feature statistical analysis.

    Feature statistical analysis. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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