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Showing 1 - 20 results of 206 for search '(( training resources decrease ) OR ( ct ((largest decrease) OR (marked decrease)) ))', query time: 0.33s Refine Results
  1. 1
    Gender-disaggregated descriptive statistics for demographics, resources, and market factors.

    Gender-disaggregated descriptive statistics for demographics, resources, and market factors. by Nancy Ndung’u (21601567)

    Published 2025
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  2. 2
    Histogram of number of drugs with (a) increased and (b) decreased usage within 12 months.

    Histogram of number of drugs with (a) increased and (b) decreased usage within 12 months. by Nguyen Thach (20347852)

    Published 2024
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  3. 3
    Multinomial regression estimates of demographic, resource, and perception factors influencing household food security by gender of decision.

    Multinomial regression estimates of demographic, resource, and perception factors influencing household food security by gender of decision. by Nancy Ndung’u (21601567)

    Published 2025
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  4. 4
    Histograms of the extent of the (a) increase and (b) decrease by the difference in categorical usage within 12 months for all drugs.

    Histograms of the extent of the (a) increase and (b) decrease by the difference in categorical usage within 12 months for all drugs. by Nguyen Thach (20347852)

    Published 2024
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  5. 5
    Boxplot comparing Ct values for HD in flies and clothes.

    Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

    Published 2025
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  6. 6
    S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism.

    S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

    Published 2025
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  7. 7
    Information of dataset with number of images in each class for training, validation, and testing.

    Information of dataset with number of images in each class for training, validation, and testing. by Afira Aslam (21433666)

    Published 2025
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  8. 8
    Skin marks is the S1 Fig title.

    Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

    Published 2024
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  9. 9
    Example of accuracy plots for soil organic carbon (oc_usda.c729_w.pct) content and soil pH in water (ph.h2o_usda.a268_index) with Lin’s CCC gradually decreasing from MIR to NIR Neospectra models.

    Example of accuracy plots for soil organic carbon (oc_usda.c729_w.pct) content and soil pH in water (ph.h2o_usda.a268_index) with Lin’s CCC gradually decreasing from MIR to NIR Neo... by José L. Safanelli (20552654)

    Published 2025
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  10. 10
    Details of the 11 fully trained dogs exposed to sweat samples of SARS-CoV-2 positive and negative humans.

    Details of the 11 fully trained dogs exposed to sweat samples of SARS-CoV-2 positive and negative humans. by Víctor M. Vidal-Martínez (18707335)

    Published 2025
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  11. 11
    Comparison of marketing strategies: SkinNTDs App implementation vs. evidence-based practices.

    Comparison of marketing strategies: SkinNTDs App implementation vs. evidence-based practices. by Henri Claude Moungui (22227043)

    Published 2025
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  12. 12
    Store listing metrics and user acquisition.

    Store listing metrics and user acquisition. by Henri Claude Moungui (22227043)

    Published 2025
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  13. 13
    Installation, growth, and retention metrics.

    Installation, growth, and retention metrics. by Henri Claude Moungui (22227043)

    Published 2025
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  14. 14
    Implemented activities.

    Implemented activities. by Henri Claude Moungui (22227043)

    Published 2025
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  15. 15
    App user retention trends.

    App user retention trends. by Henri Claude Moungui (22227043)

    Published 2025
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  16. 16
    Data derived from Google Play Console for the WHO SkinNTDs. app.

    Data derived from Google Play Console for the WHO SkinNTDs. app. by Henri Claude Moungui (22227043)

    Published 2025
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  17. 17
    Install base trends in Cameroon vs Ethiopia, Ghana and Kenya.

    Install base trends in Cameroon vs Ethiopia, Ghana and Kenya. by Henri Claude Moungui (22227043)

    Published 2025
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  18. 18
    App user onboarding trends.

    App user onboarding trends. by Henri Claude Moungui (22227043)

    Published 2025
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  19. 19
    App user base growth trends.

    App user base growth trends. by Henri Claude Moungui (22227043)

    Published 2025
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  20. 20
    Training -validation accuracy & lost for ANN.

    Training -validation accuracy & lost for ANN. by Gaurav Sandeep Dave (21519884)

    Published 2025
    “…Additionally, it decreases model training time by 180 seconds, facilitating predictive maintenance of critical performance metrics and minimizing downtime. …”
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