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Showing 21 - 40 results of 74 for search 'precise quantification algorithm', query time: 0.18s Refine Results
  1. 21
    The weights of individuals with different .

    The weights of individuals with different . by Xuejiao Zhang (3089274)

    Published 2025
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  2. 22
    Performance comparison of three indicators across different weighting schemes under .

    Performance comparison of three indicators across different weighting schemes under . by Xuejiao Zhang (3089274)

    Published 2025
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  3. 23
    Comparative analysis of second-phase objective values under varied and .

    Comparative analysis of second-phase objective values under varied and . by Xuejiao Zhang (3089274)

    Published 2025
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  4. 24
    Node centrality and average weight.

    Node centrality and average weight. by Xuejiao Zhang (3089274)

    Published 2025
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  5. 25
    Four types of attribute weights distribution under . (a): Weights by subgroup. (b): Weights by subgroup. (c): Weights by subgroup.

    Four types of attribute weights distribution under . (a): Weights by subgroup. (b): Weights by subgroup. (c): Weights by subgroup. by Xuejiao Zhang (3089274)

    Published 2025
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  6. 26
    Gray relational grade and values.

    Gray relational grade and values. by Xuejiao Zhang (3089274)

    Published 2025
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  7. 27
    Process of HRCUs construction and position allocation in intelligent production lines.

    Process of HRCUs construction and position allocation in intelligent production lines. by Xuejiao Zhang (3089274)

    Published 2025
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  8. 28
    Performance comparison of three indicators across different weighting schemes under .

    Performance comparison of three indicators across different weighting schemes under . by Xuejiao Zhang (3089274)

    Published 2025
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  9. 29
    The procedure of the proposed model.

    The procedure of the proposed model. by Xuejiao Zhang (3089274)

    Published 2025
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  10. 30
    Cloud model representation of expected and actual values in human-robot collaboration.

    Cloud model representation of expected and actual values in human-robot collaboration. by Xuejiao Zhang (3089274)

    Published 2025
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  11. 31
    Matching preference ranking of .

    Matching preference ranking of . by Xuejiao Zhang (3089274)

    Published 2025
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  12. 32
    Human-robot collaboration unit allocation for multi-layout workstations.

    Human-robot collaboration unit allocation for multi-layout workstations. by Xuejiao Zhang (3089274)

    Published 2025
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  13. 33
    Social network of employee relationships.

    Social network of employee relationships. by Xuejiao Zhang (3089274)

    Published 2025
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  14. 34
    Files associated to The Handbook of Herbivory quantification

    Files associated to The Handbook of Herbivory quantification by Tatiana Cornelissen (11231436)

    Published 2024
    “…Conversely, deep-learning algorithms underestimated herbivory on leaf margins with natural damage but showed similar accuracy to ImageJ® and R software for artificially damaged leaves. …”
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  15. 35
    MRI-derived MWF maps for six brain regions in cuprizone and control mice using data-driven and conventional approaches.

    MRI-derived MWF maps for six brain regions in cuprizone and control mice using data-driven and conventional approaches. by Noam Omer (21402801)

    Published 2025
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  16. 36
    Histology images of three cuprizone-fed mice showcasing the variability in the extent of demyelination following cuprizone diet.

    Histology images of three cuprizone-fed mice showcasing the variability in the extent of demyelination following cuprizone diet. by Noam Omer (21402801)

    Published 2025
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  17. 37
    Mean, standard deviation (SD) and coefficient of variation (CV) of MRI-derived myelin water fraction (MWF) in the medial corpus callosum (MCC). Values were obtained using the data-driven mcT<sub>2</sub> approach and using the conventional approach. Rightmost column contains reference values, derived from histology.

    Mean, standard deviation (SD) and coefficient of variation (CV) of MRI-derived myelin water fraction (MWF) in the medial corpus callosum (MCC). Values were obtained using the data-... by Noam Omer (21402801)

    Published 2025
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  18. 38
    MRI-derived myelin water fraction (MWF) values calculated in medial corpus callosum (MCC) versus ground truth values from histology.

    MRI-derived myelin water fraction (MWF) values calculated in medial corpus callosum (MCC) versus ground truth values from histology. by Noam Omer (21402801)

    Published 2025
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  19. 39
    Scatter plot of MRI-derived MWF values for each mouse across the medial corpus callosum (MCC), plotted against corresponding histology-derived myelin content.

    Scatter plot of MRI-derived MWF values for each mouse across the medial corpus callosum (MCC), plotted against corresponding histology-derived myelin content. by Noam Omer (21402801)

    Published 2025
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  20. 40
    Mean and standard deviation (SD) of MRI-derived myelin water fraction (MWF) values calculated using the data-driven mcT<sub>2</sub> approach and the conventional approach for the two mice groups and across six brain ROIs: cortex, medial corpus callosum (MCC), external corpus callosum (ECC), hippocampus (HIPP), thalamus, and striatum. All relevant data are available at data-driven-mcT2-cuprizone-validation GitHub repository and can be accessed at: https://github.com/NoamBenEliezer/data-driven-mcT2-cuprizone-validation.

    Mean and standard deviation (SD) of MRI-derived myelin water fraction (MWF) values calculated using the data-driven mcT<sub>2</sub> approach and the conventional approach for the t... by Noam Omer (21402801)

    Published 2025
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