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Showing 1 - 20 results of 52 for search '(( primary cells process optimization algorithm ) OR ( binary data dose optimization algorithm ))*', query time: 0.67s Refine Results
  1. 1
    Features selected by optimization algorithms.

    Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

    Published 2024
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  2. 2
    MLP vs classification algorithms.

    MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

    Published 2024
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  3. 3
    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx

    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx by Dongdong Li (123985)

    Published 2023
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  4. 4
    Hybrid feature selection algorithm of CSCO-ROA.

    Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

    Published 2024
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  5. 5
    DataSheet1_Development of an Intelligent Power Management System for Solar PV-Wind-Battery-Fuel-Cell Integrated System.docx

    DataSheet1_Development of an Intelligent Power Management System for Solar PV-Wind-Battery-Fuel-Cell Integrated System.docx by Vincent Anayochukwu Ani (10322801)

    Published 2021
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  6. 6
    Algorithms and evaluation metrics integrated in the COPS framework.

    Algorithms and evaluation metrics integrated in the COPS framework. by Teemu J. Rintala (19333003)

    Published 2024
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  7. 7
    Schematic representation of semi-automated algorithm for organoids analyzing.

    Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

    Published 2025
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  8. 8
    Performance metrics for BrC.

    Performance metrics for BrC. by Afnan M. Alhassan (18349378)

    Published 2024
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  9. 9
    Proposed CVAE model.

    Proposed CVAE model. by Afnan M. Alhassan (18349378)

    Published 2024
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  10. 10
    Proposed methodology.

    Proposed methodology. by Afnan M. Alhassan (18349378)

    Published 2024
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  11. 11
    Loss vs. Epoch.

    Loss vs. Epoch. by Afnan M. Alhassan (18349378)

    Published 2024
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  12. 12
    Sample images from the BreakHis dataset.

    Sample images from the BreakHis dataset. by Afnan M. Alhassan (18349378)

    Published 2024
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  13. 13
    Accuracy vs. Epoch.

    Accuracy vs. Epoch. by Afnan M. Alhassan (18349378)

    Published 2024
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  14. 14
    Segmentation results of the proposed model.

    Segmentation results of the proposed model. by Afnan M. Alhassan (18349378)

    Published 2024
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  15. 15
    S1 Dataset -

    S1 Dataset - by Afnan M. Alhassan (18349378)

    Published 2024
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  16. 16
    CSCO’s flowchart.

    CSCO’s flowchart. by Afnan M. Alhassan (18349378)

    Published 2024
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  17. 17
    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics

    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics by Zhichao Liu (191718)

    Published 2019
    “…Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive detection of proteins, peptides, and metabolites in limited amounts of samples, even single cells. However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …”
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  18. 18
    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics

    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics by Zhichao Liu (191718)

    Published 2019
    “…Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive detection of proteins, peptides, and metabolites in limited amounts of samples, even single cells. However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …”
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  19. 19
    Table1_Effects of Fiscal Decentralization on Garbage Classifications.docx

    Table1_Effects of Fiscal Decentralization on Garbage Classifications.docx by Qiuzhuo Ma (11143533)

    Published 2021
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  20. 20
    Table1_Effects of Fiscal Decentralization on Garbage Classifications.docx

    Table1_Effects of Fiscal Decentralization on Garbage Classifications.docx by Qiuzhuo Ma (11143533)

    Published 2022
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