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Showing 701 - 720 results of 21,342 for search '(( significant decrease decrease ) OR ( significant ((shape decrease) OR (step decrease)) ))', query time: 0.32s Refine Results
  1. 701
    Raw dataset Fig. 6.

    Raw dataset Fig. 6. by Hong Zhang (25820)

    Published 2025
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  2. 702
    Detail of the personalized-enhanced GCN.

    Detail of the personalized-enhanced GCN. by Yuanming Ding (12842858)

    Published 2025
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  3. 703
    Performance comparison of different models on PeMSD4 and PeMSD8 at different forecasting interval.

    Performance comparison of different models on PeMSD4 and PeMSD8 at different forecasting interval. by Yuanming Ding (12842858)

    Published 2025
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  4. 704
    Enhanced multi-component module.

    Enhanced multi-component module. by Yuanming Ding (12842858)

    Published 2025
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  5. 705
    The architecture of the TCBiL.

    The architecture of the TCBiL. by Yuanming Ding (12842858)

    Published 2025
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  6. 706
    Comparative analysis of predictive performance of different variant models.

    Comparative analysis of predictive performance of different variant models. by Yuanming Ding (12842858)

    Published 2025
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  7. 707
    PeMSD8.

    PeMSD8. by Yuanming Ding (12842858)

    Published 2025
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  8. 708
    Detail of the encoder.

    Detail of the encoder. by Yuanming Ding (12842858)

    Published 2025
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  9. 709
    Detail of the Fourier transform.

    Detail of the Fourier transform. by Yuanming Ding (12842858)

    Published 2025
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  10. 710
    Detail of the decoder.

    Detail of the decoder. by Yuanming Ding (12842858)

    Published 2025
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  11. 711
    Parameter sensitivity analysis results for <i>T</i><sub><i>h</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>h</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  12. 712
    Parameter sensitivity analysis results for <i>T</i><sub><i>w</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>w</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  13. 713
    Parameter sensitivity analysis results for <i>T</i><sub><i>d</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>d</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  14. 714
    Encoder-decoder architecture.

    Encoder-decoder architecture. by Yuanming Ding (12842858)

    Published 2025
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  15. 715
    PeMSD4.

    PeMSD4. by Yuanming Ding (12842858)

    Published 2025
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  16. 716
    Schematic diagram of the ESGCN-EDM model structure.

    Schematic diagram of the ESGCN-EDM model structure. by Yuanming Ding (12842858)

    Published 2025
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  17. 717
    Dataset description.

    Dataset description. by Yuanming Ding (12842858)

    Published 2025
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  18. 718
    Significant inter-relationships between baseline variables and MSCC or MCS.

    Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

    Published 2025
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  19. 719
    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.

    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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  20. 720
    Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate decreases, the range of residual variations also becomes smaller.

    Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

    Published 2025
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