Showing 1 - 20 results of 28 for search 'multiple sequence reduction algorithm', query time: 0.28s Refine Results
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    Exploiting travel sequences to optimise facility layouts with multiple input/output points by Seyyed Mahdi Ghorashi Khalilabadi (20475618)

    Published 2024
    “…While the study focuses on fertiliser manufacturing, the findings are applicable to other settings, such as warehousing, where complex movement sequences and multiple IO points are common in processes like picking, packing, and shipping.…”
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    Table 1_Exploring the impact of deubiquitination on melanoma prognosis through single-cell RNA sequencing.docx by Su Peng (5648456)

    Published 2024
    “…Cell types were annotated based on known marker genes, and the AUCell algorithm assessed the enrichment of deubiquitination-related genes. …”
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    Data Sheet 1_Exploring the impact of deubiquitination on melanoma prognosis through single-cell RNA sequencing.zip by Su Peng (5648456)

    Published 2024
    “…Cell types were annotated based on known marker genes, and the AUCell algorithm assessed the enrichment of deubiquitination-related genes. …”
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    Error measure comparison for Davis dataset. by Varun Malik (21212874)

    Published 2025
    “…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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    Feature optimization using MRO. by Varun Malik (21212874)

    Published 2025
    “…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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    Error measure comparison for Binding-DB dataset. by Varun Malik (21212874)

    Published 2025
    “…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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    Feature extraction by HUNet. by Varun Malik (21212874)

    Published 2025
    “…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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    Error measure comparison for KIBA dataset. by Varun Malik (21212874)

    Published 2025
    “…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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    Statistical description of datasets. by Varun Malik (21212874)

    Published 2025
    “…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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    Drug discovery for NSCLC patients using DTransL. by Varun Malik (21212874)

    Published 2025
    “…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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