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Showing 1 - 20 results of 6,538 for search '(((( learning font decrease ) OR ( _ largest decrease ))) OR ( _ values decrease ))', query time: 0.54s Refine Results
  1. 1
    Differences between extreme values of different indicators.

    Differences between extreme values of different indicators. by Weijia Zhu (65481)

    Published 2025
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  2. 2
    Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically significance values.

    Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically significance values. by Oswaldo Maillard (20660661)

    Published 2025
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  3. 3
    The flowchart of the large model for font style transfer.

    The flowchart of the large model for font style transfer. by Weijia Zhu (65481)

    Published 2025
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  4. 4
    Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with decreasing trends (<i>p</i> < 0.05).

    Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with decreasing trends (<i>p</i> < 0.05). by Oswaldo Maillard (20660661)

    Published 2025
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  5. 5
    Depth pruning can effectively reduce the complexity of the model.

    Depth pruning can effectively reduce the complexity of the model. by Weijia Zhu (65481)

    Published 2025
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  6. 6
    Comparison of our model with other state-of-the-art methods.

    Comparison of our model with other state-of-the-art methods. by Weijia Zhu (65481)

    Published 2025
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  7. 7
    The impact of different diffusion model time steps on the model.

    The impact of different diffusion model time steps on the model. by Weijia Zhu (65481)

    Published 2025
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  8. 8
    Comparison of the results of our model and other methods.

    Comparison of the results of our model and other methods. by Weijia Zhu (65481)

    Published 2025
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  9. 9
    The impact of different diffusion model depths on the model.

    The impact of different diffusion model depths on the model. by Weijia Zhu (65481)

    Published 2025
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  10. 10
    Performance comparison of different text and image encoders.

    Performance comparison of different text and image encoders. by Weijia Zhu (65481)

    Published 2025
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  11. 11
    Time step optimization can greatly improve the efficiency of training and inference.

    Time step optimization can greatly improve the efficiency of training and inference. by Weijia Zhu (65481)

    Published 2025
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  12. 12
    The impact of different model compression modules on the model.

    The impact of different model compression modules on the model. by Weijia Zhu (65481)

    Published 2025
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  13. 13
    Some examples of selected Chinese characters.

    Some examples of selected Chinese characters. by Weijia Zhu (65481)

    Published 2025
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  14. 14
    PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predation.

    PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predat... by Alexandra M. Campbell (3284094)

    Published 2025
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  15. 15
    Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values.

    Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

    Published 2025
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  16. 16
    TITAN decreaser diatom heatmap.

    TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

    Published 2025
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  17. 17
    Yearly crude rates normalized by their 1999 value.

    Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

    Published 2025
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  18. 18
    TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs. Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm<sup>-1</sup>), total nitrogen (TN; μg L<sup>-1</sup>), and total phosphorus (TP; μg L<sup>-1</sup>). Tolerant taxa change point derived from increaser sum <i>z</i>+ value. Flow permanence responses are opposite those of other stressors such that increasers are sensitive to decreasing FPI. Benthic macroinvertebrate data is from 90 sites and diatom data is from 109 sites sampled at least 3 times between 2013 – 2019.

    TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

    Published 2025
    “…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs. …”
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  19. 19
    Analysis of tea output value distribution and growth- decrease rate of provinces.

    Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

    Published 2024
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  20. 20
    Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19.

    Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

    Published 2025
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